RandomForestOutput-HW.txt

Training with: n_estimators=200, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527973532676697
Training with: n_estimators=400, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9526132345199585
Training with: n_estimators=600, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9526083469390869
Training with: n_estimators=800, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9525827169418335
Training with: n_estimators=1000, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9526445865631104
Training with: n_estimators=1200, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.952664852142334
Training with: n_estimators=1400, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9526724219322205
Training with: n_estimators=1600, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9526863098144531
Training with: n_estimators=1800, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9526987075805664
Training with: n_estimators=2000, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9526728391647339
Training with: n_estimators=200, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9518930912017822
Training with: n_estimators=400, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.951765239238739
Training with: n_estimators=600, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9517444372177124
Training with: n_estimators=800, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9516982436180115
Training with: n_estimators=1000, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9517529010772705
Training with: n_estimators=1200, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9517577290534973
Training with: n_estimators=1400, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9517684578895569
Training with: n_estimators=1600, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9517873525619507
Training with: n_estimators=1800, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9517956376075745
Training with: n_estimators=2000, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9517634510993958
Training with: n_estimators=200, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.949470043182373
Training with: n_estimators=400, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9494499564170837
Training with: n_estimators=600, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9494802951812744
Training with: n_estimators=800, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9494595527648926
Training with: n_estimators=1000, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9494351148605347
Training with: n_estimators=1200, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.949435830116272
Training with: n_estimators=1400, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9494333863258362
Training with: n_estimators=1600, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9494410157203674
Training with: n_estimators=1800, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9494589567184448
Training with: n_estimators=2000, max_depth=10, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9494351744651794
Training with: n_estimators=200, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9508850574493408
Training with: n_estimators=400, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9507908225059509
Training with: n_estimators=600, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9508472084999084
Training with: n_estimators=800, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9508061408996582
Training with: n_estimators=1000, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9508227109909058
Training with: n_estimators=1200, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9508075714111328
Training with: n_estimators=1400, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9508004188537598
Training with: n_estimators=1600, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9508101940155029
Training with: n_estimators=1800, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9508196115493774
Training with: n_estimators=2000, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9507899880409241
Training with: n_estimators=200, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9507283568382263
Training with: n_estimators=400, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9506245255470276
Training with: n_estimators=600, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9506770372390747
Training with: n_estimators=800, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9506206512451172
Training with: n_estimators=1000, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9506337642669678
Training with: n_estimators=1200, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9506269693374634
Training with: n_estimators=1400, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9506215453147888
Training with: n_estimators=1600, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9506387710571289
Training with: n_estimators=1800, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9506505727767944
Training with: n_estimators=2000, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9506210088729858
Training with: n_estimators=200, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.949037492275238
Training with: n_estimators=400, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9489300847053528
Training with: n_estimators=600, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9489940404891968
Training with: n_estimators=800, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9489476680755615
Training with: n_estimators=1000, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9489200115203857
Training with: n_estimators=1200, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9489170908927917
Training with: n_estimators=1400, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9489002823829651
Training with: n_estimators=1600, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9489227533340454
Training with: n_estimators=1800, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9489383697509766
Training with: n_estimators=2000, max_depth=10, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9489119648933411
Training with: n_estimators=200, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9477173089981079
Training with: n_estimators=400, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9476258754730225
Training with: n_estimators=600, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9476830363273621
Training with: n_estimators=800, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9476756453514099
Training with: n_estimators=1000, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9476682543754578
Training with: n_estimators=1200, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9476639032363892
Training with: n_estimators=1400, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9476318955421448
Training with: n_estimators=1600, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9476385712623596
Training with: n_estimators=1800, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.947645366191864
Training with: n_estimators=2000, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9476180076599121
Training with: n_estimators=200, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9477173089981079
Training with: n_estimators=400, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9476258754730225
Training with: n_estimators=600, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9476830363273621
Training with: n_estimators=800, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9476756453514099
Training with: n_estimators=1000, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9476682543754578
Training with: n_estimators=1200, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9476639032363892
Training with: n_estimators=1400, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9476318955421448
Training with: n_estimators=1600, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9476385712623596
Training with: n_estimators=1800, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.947645366191864
Training with: n_estimators=2000, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9476180076599121
Training with: n_estimators=200, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9474319815635681
Training with: n_estimators=400, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9473738670349121
Training with: n_estimators=600, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9474288821220398
Training with: n_estimators=800, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9473918080329895
Training with: n_estimators=1000, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9473822116851807
Training with: n_estimators=1200, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9473671317100525
Training with: n_estimators=1400, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9473453164100647
Training with: n_estimators=1600, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9473467469215393
Training with: n_estimators=1800, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9473540782928467
Training with: n_estimators=2000, max_depth=10, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.947330117225647
Training with: n_estimators=200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.947482705116272
Training with: n_estimators=400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469761848449707
Training with: n_estimators=600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469417333602905
Training with: n_estimators=800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469274282455444
Training with: n_estimators=1000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469031095504761
Training with: n_estimators=1200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468613862991333
Training with: n_estimators=1400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.946836531162262
Training with: n_estimators=1600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469239711761475
Training with: n_estimators=1800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468526840209961
Training with: n_estimators=2000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467439651489258
Training with: n_estimators=200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9465734958648682
Training with: n_estimators=400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.946287989616394
Training with: n_estimators=600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9462250471115112
Training with: n_estimators=800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9462032318115234
Training with: n_estimators=1000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9462332129478455
Training with: n_estimators=1200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9461703300476074
Training with: n_estimators=1400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9461877346038818
Training with: n_estimators=1600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9462672472000122
Training with: n_estimators=1800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9462450742721558
Training with: n_estimators=2000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9461431503295898
Training with: n_estimators=200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9440286755561829
Training with: n_estimators=400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9439263343811035
Training with: n_estimators=600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9437584280967712
Training with: n_estimators=800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9437484741210938
Training with: n_estimators=1000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9437289237976074
Training with: n_estimators=1200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9437351822853088
Training with: n_estimators=1400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9437223076820374
Training with: n_estimators=1600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9437838196754456
Training with: n_estimators=1800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9437559843063354
Training with: n_estimators=2000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9436835050582886
Training with: n_estimators=200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9445846080780029
Training with: n_estimators=400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9443081021308899
Training with: n_estimators=600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9444268345832825
Training with: n_estimators=800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9444059729576111
Training with: n_estimators=1000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9443984627723694
Training with: n_estimators=1200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9444241523742676
Training with: n_estimators=1400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9444299936294556
Training with: n_estimators=1600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9444980025291443
Training with: n_estimators=1800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9444465637207031
Training with: n_estimators=2000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9443342685699463
Training with: n_estimators=200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9445518851280212
Training with: n_estimators=400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.944265604019165
Training with: n_estimators=600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9443469047546387
Training with: n_estimators=800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9443018436431885
Training with: n_estimators=1000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9443127512931824
Training with: n_estimators=1200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9442921876907349
Training with: n_estimators=1400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9443020224571228
Training with: n_estimators=1600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9443747401237488
Training with: n_estimators=1800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9443302750587463
Training with: n_estimators=2000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9442148208618164
Training with: n_estimators=200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.943091630935669
Training with: n_estimators=400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9428820013999939
Training with: n_estimators=600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9429118633270264
Training with: n_estimators=800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9428653717041016
Training with: n_estimators=1000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9427925944328308
Training with: n_estimators=1200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9428290724754333
Training with: n_estimators=1400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9427880048751831
Training with: n_estimators=1600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9428342580795288
Training with: n_estimators=1800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9428055882453918
Training with: n_estimators=2000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9427052140235901
Training with: n_estimators=200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9413859844207764
Training with: n_estimators=400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9408879280090332
Training with: n_estimators=600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9408612251281738
Training with: n_estimators=800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.940839409828186
Training with: n_estimators=1000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9408009052276611
Training with: n_estimators=1200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9408222436904907
Training with: n_estimators=1400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9407838582992554
Training with: n_estimators=1600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9408913254737854
Training with: n_estimators=1800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9408807754516602
Training with: n_estimators=2000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.940776526927948
Training with: n_estimators=200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9413859844207764
Training with: n_estimators=400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9408879280090332
Training with: n_estimators=600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9408612251281738
Training with: n_estimators=800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.940839409828186
Training with: n_estimators=1000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9408009052276611
Training with: n_estimators=1200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9408222436904907
Training with: n_estimators=1400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9407838582992554
Training with: n_estimators=1600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9408913254737854
Training with: n_estimators=1800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9408807754516602
Training with: n_estimators=2000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.940776526927948
Training with: n_estimators=200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9409838318824768
Training with: n_estimators=400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9405761957168579
Training with: n_estimators=600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9405807256698608
Training with: n_estimators=800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9406083822250366
Training with: n_estimators=1000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9405854940414429
Training with: n_estimators=1200, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9406018853187561
Training with: n_estimators=1400, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9405825138092041
Training with: n_estimators=1600, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9406611919403076
Training with: n_estimators=1800, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.940643846988678
Training with: n_estimators=2000, max_depth=10, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9405443668365479
Training with: n_estimators=200, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9552183151245117
Training with: n_estimators=400, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.955069899559021
Training with: n_estimators=600, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550650119781494
Training with: n_estimators=800, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550321102142334
Training with: n_estimators=1000, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550876617431641
Training with: n_estimators=1200, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551076292991638
Training with: n_estimators=1400, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551144242286682
Training with: n_estimators=1600, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551277160644531
Training with: n_estimators=1800, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.955136775970459
Training with: n_estimators=2000, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551088213920593
Training with: n_estimators=200, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9540284872055054
Training with: n_estimators=400, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539219737052917
Training with: n_estimators=600, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539024233818054
Training with: n_estimators=800, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538494944572449
Training with: n_estimators=1000, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538978338241577
Training with: n_estimators=1200, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539039731025696
Training with: n_estimators=1400, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539138674736023
Training with: n_estimators=1600, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539324045181274
Training with: n_estimators=1800, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539389610290527
Training with: n_estimators=2000, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539043307304382
Training with: n_estimators=200, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510226845741272
Training with: n_estimators=400, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510024189949036
Training with: n_estimators=600, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510369300842285
Training with: n_estimators=800, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510142803192139
Training with: n_estimators=1000, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509889483451843
Training with: n_estimators=1200, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509927034378052
Training with: n_estimators=1400, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509879946708679
Training with: n_estimators=1600, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509959816932678
Training with: n_estimators=1800, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510127305984497
Training with: n_estimators=2000, max_depth=20, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509884715080261
Training with: n_estimators=200, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9528093934059143
Training with: n_estimators=400, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527285695075989
Training with: n_estimators=600, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527900218963623
Training with: n_estimators=800, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527425765991211
Training with: n_estimators=1000, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527572989463806
Training with: n_estimators=1200, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1400, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527350068092346
Training with: n_estimators=1600, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1800, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527515172958374
Training with: n_estimators=2000, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527203440666199
Training with: n_estimators=200, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525949358940125
Training with: n_estimators=400, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525033831596375
Training with: n_estimators=600, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525607824325562
Training with: n_estimators=800, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524984955787659
Training with: n_estimators=1000, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.952509343624115
Training with: n_estimators=1200, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525042772293091
Training with: n_estimators=1400, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524971842765808
Training with: n_estimators=1600, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.952513575553894
Training with: n_estimators=1800, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525238275527954
Training with: n_estimators=2000, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.952492356300354
Training with: n_estimators=200, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504606127738953
Training with: n_estimators=400, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503529071807861
Training with: n_estimators=600, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504228830337524
Training with: n_estimators=800, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503744840621948
Training with: n_estimators=1000, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1200, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1400, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503262042999268
Training with: n_estimators=1600, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.950348973274231
Training with: n_estimators=1800, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503633975982666
Training with: n_estimators=2000, max_depth=20, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503360390663147
Training with: n_estimators=200, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485816359519958
Training with: n_estimators=400, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485252499580383
Training with: n_estimators=600, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485847353935242
Training with: n_estimators=800, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485470056533813
Training with: n_estimators=1000, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485386610031128
Training with: n_estimators=1200, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485254287719727
Training with: n_estimators=1400, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.94850093126297
Training with: n_estimators=1600, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485029578208923
Training with: n_estimators=1800, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.948509156703949
Training with: n_estimators=2000, max_depth=20, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9484851956367493
Training with: n_estimators=200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9507269263267517
Training with: n_estimators=400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.95020991563797
Training with: n_estimators=600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501603245735168
Training with: n_estimators=800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501399993896484
Training with: n_estimators=1000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501211047172546
Training with: n_estimators=1200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500804543495178
Training with: n_estimators=1400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500559568405151
Training with: n_estimators=1600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.950140655040741
Training with: n_estimators=1800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500619769096375
Training with: n_estimators=2000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9499504566192627
Training with: n_estimators=200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9493473172187805
Training with: n_estimators=400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490894675254822
Training with: n_estimators=600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490166306495667
Training with: n_estimators=800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490063786506653
Training with: n_estimators=1000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490393400192261
Training with: n_estimators=1200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489728212356567
Training with: n_estimators=1400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489889144897461
Training with: n_estimators=1600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490663409233093
Training with: n_estimators=1800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490382671356201
Training with: n_estimators=2000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489288926124573
Training with: n_estimators=200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9461055397987366
Training with: n_estimators=400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9459820985794067
Training with: n_estimators=600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.945800244808197
Training with: n_estimators=800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458041787147522
Training with: n_estimators=1000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457813501358032
Training with: n_estimators=1200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457917809486389
Training with: n_estimators=1400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457793831825256
Training with: n_estimators=1600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458358883857727
Training with: n_estimators=1800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458024501800537
Training with: n_estimators=2000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457257986068726
Training with: n_estimators=200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9470417499542236
Training with: n_estimators=400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467754364013672
Training with: n_estimators=600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468873143196106
Training with: n_estimators=800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468610286712646
Training with: n_estimators=1000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468559622764587
Training with: n_estimators=1200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.946881115436554
Training with: n_estimators=1400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468916654586792
Training with: n_estimators=1600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469581842422485
Training with: n_estimators=1800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.946902334690094
Training with: n_estimators=2000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467862248420715
Training with: n_estimators=200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946925163269043
Training with: n_estimators=400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466536045074463
Training with: n_estimators=600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467248916625977
Training with: n_estimators=800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466684460639954
Training with: n_estimators=1000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466921091079712
Training with: n_estimators=1200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466747641563416
Training with: n_estimators=1400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466868042945862
Training with: n_estimators=1600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467582106590271
Training with: n_estimators=1800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467106461524963
Training with: n_estimators=2000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946588933467865
Training with: n_estimators=200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9449532628059387
Training with: n_estimators=400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447280168533325
Training with: n_estimators=600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447537064552307
Training with: n_estimators=800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447000026702881
Training with: n_estimators=1000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446333050727844
Training with: n_estimators=1200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446696043014526
Training with: n_estimators=1400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446315765380859
Training with: n_estimators=1600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446736574172974
Training with: n_estimators=1800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446404576301575
Training with: n_estimators=2000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9445351362228394
Training with: n_estimators=200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942328929901123
Training with: n_estimators=1600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423058032989502
Training with: n_estimators=200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942328929901123
Training with: n_estimators=1600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423058032989502
Training with: n_estimators=200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9424594640731812
Training with: n_estimators=400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420421123504639
Training with: n_estimators=600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942036509513855
Training with: n_estimators=800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942061185836792
Training with: n_estimators=1000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420391321182251
Training with: n_estimators=1200, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420535564422607
Training with: n_estimators=1400, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420365691184998
Training with: n_estimators=1600, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942111611366272
Training with: n_estimators=1800, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420913457870483
Training with: n_estimators=2000, max_depth=20, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9419872164726257
Training with: n_estimators=200, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.955218493938446
Training with: n_estimators=400, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550700783729553
Training with: n_estimators=600, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550651907920837
Training with: n_estimators=800, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550322890281677
Training with: n_estimators=1000, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550878405570984
Training with: n_estimators=1200, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551078677177429
Training with: n_estimators=1400, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551146626472473
Training with: n_estimators=1600, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551278948783875
Training with: n_estimators=1800, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551370143890381
Training with: n_estimators=2000, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551090598106384
Training with: n_estimators=200, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9540285468101501
Training with: n_estimators=400, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539220333099365
Training with: n_estimators=600, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953902542591095
Training with: n_estimators=800, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538495540618896
Training with: n_estimators=1000, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538978934288025
Training with: n_estimators=1200, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539040923118591
Training with: n_estimators=1400, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539139270782471
Training with: n_estimators=1600, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953932523727417
Training with: n_estimators=1800, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539390802383423
Training with: n_estimators=2000, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539044499397278
Training with: n_estimators=200, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510226845741272
Training with: n_estimators=400, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510024189949036
Training with: n_estimators=600, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510369300842285
Training with: n_estimators=800, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510142803192139
Training with: n_estimators=1000, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509890079498291
Training with: n_estimators=1200, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.95099276304245
Training with: n_estimators=1400, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509879946708679
Training with: n_estimators=1600, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509960412979126
Training with: n_estimators=1800, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510127902030945
Training with: n_estimators=2000, max_depth=30, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509884715080261
Training with: n_estimators=200, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9528093934059143
Training with: n_estimators=400, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527286291122437
Training with: n_estimators=600, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527900218963623
Training with: n_estimators=800, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527425765991211
Training with: n_estimators=1000, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527572989463806
Training with: n_estimators=1200, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1400, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527350068092346
Training with: n_estimators=1600, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1800, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527515769004822
Training with: n_estimators=2000, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527204036712646
Training with: n_estimators=200, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525949358940125
Training with: n_estimators=400, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525034427642822
Training with: n_estimators=600, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525608420372009
Training with: n_estimators=800, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524984955787659
Training with: n_estimators=1000, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.952509343624115
Training with: n_estimators=1200, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525042772293091
Training with: n_estimators=1400, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524971842765808
Training with: n_estimators=1600, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525136351585388
Training with: n_estimators=1800, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525238275527954
Training with: n_estimators=2000, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524924159049988
Training with: n_estimators=200, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504606127738953
Training with: n_estimators=400, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503529071807861
Training with: n_estimators=600, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504228830337524
Training with: n_estimators=800, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503744840621948
Training with: n_estimators=1000, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1200, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1400, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503262042999268
Training with: n_estimators=1600, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.950348973274231
Training with: n_estimators=1800, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503633975982666
Training with: n_estimators=2000, max_depth=30, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503360390663147
Training with: n_estimators=200, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485816359519958
Training with: n_estimators=400, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485252499580383
Training with: n_estimators=600, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485847353935242
Training with: n_estimators=800, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485470056533813
Training with: n_estimators=1000, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485386610031128
Training with: n_estimators=1200, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485254287719727
Training with: n_estimators=1400, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.94850093126297
Training with: n_estimators=1600, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485029578208923
Training with: n_estimators=1800, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.948509156703949
Training with: n_estimators=2000, max_depth=30, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9484851956367493
Training with: n_estimators=200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.95073002576828
Training with: n_estimators=400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9502129554748535
Training with: n_estimators=600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501633048057556
Training with: n_estimators=800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501429200172424
Training with: n_estimators=1000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501240253448486
Training with: n_estimators=1200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500833749771118
Training with: n_estimators=1400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500588178634644
Training with: n_estimators=1600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.950143575668335
Training with: n_estimators=1800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500648975372314
Training with: n_estimators=2000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9499533176422119
Training with: n_estimators=200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9493488669395447
Training with: n_estimators=400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490910172462463
Training with: n_estimators=600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.949018120765686
Training with: n_estimators=800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490079283714294
Training with: n_estimators=1000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490408301353455
Training with: n_estimators=1200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489743113517761
Training with: n_estimators=1400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489904642105103
Training with: n_estimators=1600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490678310394287
Training with: n_estimators=1800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490398168563843
Training with: n_estimators=2000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489304423332214
Training with: n_estimators=200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9461058974266052
Training with: n_estimators=400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9459824562072754
Training with: n_estimators=600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458006024360657
Training with: n_estimators=800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458045363426208
Training with: n_estimators=1000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457817673683167
Training with: n_estimators=1200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457921385765076
Training with: n_estimators=1400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457797408103943
Training with: n_estimators=1600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458362460136414
Training with: n_estimators=1800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458028674125671
Training with: n_estimators=2000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.945726215839386
Training with: n_estimators=200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9470425248146057
Training with: n_estimators=400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467761516571045
Training with: n_estimators=600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468879699707031
Training with: n_estimators=800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468616843223572
Training with: n_estimators=1000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468566179275513
Training with: n_estimators=1200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468818306922913
Training with: n_estimators=1400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468923807144165
Training with: n_estimators=1600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469588994979858
Training with: n_estimators=1800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469030499458313
Training with: n_estimators=2000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467869997024536
Training with: n_estimators=200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9469257593154907
Training with: n_estimators=400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946654200553894
Training with: n_estimators=600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467254877090454
Training with: n_estimators=800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466690421104431
Training with: n_estimators=1000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946692705154419
Training with: n_estimators=1200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466753602027893
Training with: n_estimators=1400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466874003410339
Training with: n_estimators=1600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467588067054749
Training with: n_estimators=1800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467112421989441
Training with: n_estimators=2000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946589469909668
Training with: n_estimators=200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9449535608291626
Training with: n_estimators=400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447282552719116
Training with: n_estimators=600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447539448738098
Training with: n_estimators=800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447002410888672
Training with: n_estimators=1000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446334838867188
Training with: n_estimators=1200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.944669783115387
Training with: n_estimators=1400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446317553520203
Training with: n_estimators=1600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446738958358765
Training with: n_estimators=1800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446406364440918
Training with: n_estimators=2000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9445353150367737
Training with: n_estimators=200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9424594640731812
Training with: n_estimators=400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420421123504639
Training with: n_estimators=600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942036509513855
Training with: n_estimators=800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420612454414368
Training with: n_estimators=1000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420391917228699
Training with: n_estimators=1200, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420535564422607
Training with: n_estimators=1400, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420365691184998
Training with: n_estimators=1600, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942111611366272
Training with: n_estimators=1800, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420913457870483
Training with: n_estimators=2000, max_depth=30, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9419872760772705
Training with: n_estimators=200, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.955218493938446
Training with: n_estimators=400, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550700783729553
Training with: n_estimators=600, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550651907920837
Training with: n_estimators=800, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550322890281677
Training with: n_estimators=1000, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550878405570984
Training with: n_estimators=1200, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551078677177429
Training with: n_estimators=1400, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551146626472473
Training with: n_estimators=1600, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551278948783875
Training with: n_estimators=1800, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551370143890381
Training with: n_estimators=2000, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551090598106384
Training with: n_estimators=200, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9540285468101501
Training with: n_estimators=400, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539220333099365
Training with: n_estimators=600, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953902542591095
Training with: n_estimators=800, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538495540618896
Training with: n_estimators=1000, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538978934288025
Training with: n_estimators=1200, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539040923118591
Training with: n_estimators=1400, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539139270782471
Training with: n_estimators=1600, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953932523727417
Training with: n_estimators=1800, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539390802383423
Training with: n_estimators=2000, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539044499397278
Training with: n_estimators=200, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510226845741272
Training with: n_estimators=400, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510024189949036
Training with: n_estimators=600, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510369300842285
Training with: n_estimators=800, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510142803192139
Training with: n_estimators=1000, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509890079498291
Training with: n_estimators=1200, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.95099276304245
Training with: n_estimators=1400, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509879946708679
Training with: n_estimators=1600, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509960412979126
Training with: n_estimators=1800, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510127902030945
Training with: n_estimators=2000, max_depth=40, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509884715080261
Training with: n_estimators=200, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9528093934059143
Training with: n_estimators=400, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527286291122437
Training with: n_estimators=600, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527900218963623
Training with: n_estimators=800, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527425765991211
Training with: n_estimators=1000, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527572989463806
Training with: n_estimators=1200, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1400, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527350068092346
Training with: n_estimators=1600, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1800, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527515769004822
Training with: n_estimators=2000, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527204036712646
Training with: n_estimators=200, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525949358940125
Training with: n_estimators=400, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525034427642822
Training with: n_estimators=600, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525608420372009
Training with: n_estimators=800, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524984955787659
Training with: n_estimators=1000, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.952509343624115
Training with: n_estimators=1200, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525042772293091
Training with: n_estimators=1400, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524971842765808
Training with: n_estimators=1600, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525136351585388
Training with: n_estimators=1800, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525238275527954
Training with: n_estimators=2000, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524924159049988
Training with: n_estimators=200, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504606127738953
Training with: n_estimators=400, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503529071807861
Training with: n_estimators=600, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504228830337524
Training with: n_estimators=800, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503744840621948
Training with: n_estimators=1000, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1200, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1400, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503262042999268
Training with: n_estimators=1600, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.950348973274231
Training with: n_estimators=1800, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503633975982666
Training with: n_estimators=2000, max_depth=40, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503360390663147
Training with: n_estimators=200, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485816359519958
Training with: n_estimators=400, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485252499580383
Training with: n_estimators=600, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485847353935242
Training with: n_estimators=800, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485470056533813
Training with: n_estimators=1000, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485386610031128
Training with: n_estimators=1200, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485254287719727
Training with: n_estimators=1400, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.94850093126297
Training with: n_estimators=1600, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485029578208923
Training with: n_estimators=1800, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.948509156703949
Training with: n_estimators=2000, max_depth=40, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9484851956367493
Training with: n_estimators=200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.95073002576828
Training with: n_estimators=400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9502129554748535
Training with: n_estimators=600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501633048057556
Training with: n_estimators=800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501429200172424
Training with: n_estimators=1000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501240253448486
Training with: n_estimators=1200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500833749771118
Training with: n_estimators=1400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500588178634644
Training with: n_estimators=1600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.950143575668335
Training with: n_estimators=1800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500648975372314
Training with: n_estimators=2000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9499533176422119
Training with: n_estimators=200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9493488669395447
Training with: n_estimators=400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490910172462463
Training with: n_estimators=600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.949018120765686
Training with: n_estimators=800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490079283714294
Training with: n_estimators=1000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490408301353455
Training with: n_estimators=1200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489743113517761
Training with: n_estimators=1400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489904642105103
Training with: n_estimators=1600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490678310394287
Training with: n_estimators=1800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490398168563843
Training with: n_estimators=2000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489304423332214
Training with: n_estimators=200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9461058974266052
Training with: n_estimators=400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9459824562072754
Training with: n_estimators=600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458006024360657
Training with: n_estimators=800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458045363426208
Training with: n_estimators=1000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457817673683167
Training with: n_estimators=1200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457921385765076
Training with: n_estimators=1400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457797408103943
Training with: n_estimators=1600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458362460136414
Training with: n_estimators=1800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458028674125671
Training with: n_estimators=2000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.945726215839386
Training with: n_estimators=200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9470425248146057
Training with: n_estimators=400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467761516571045
Training with: n_estimators=600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468879699707031
Training with: n_estimators=800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468616843223572
Training with: n_estimators=1000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468566179275513
Training with: n_estimators=1200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468818306922913
Training with: n_estimators=1400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468923807144165
Training with: n_estimators=1600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469588994979858
Training with: n_estimators=1800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469030499458313
Training with: n_estimators=2000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467869997024536
Training with: n_estimators=200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9469257593154907
Training with: n_estimators=400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946654200553894
Training with: n_estimators=600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467254877090454
Training with: n_estimators=800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466690421104431
Training with: n_estimators=1000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946692705154419
Training with: n_estimators=1200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466753602027893
Training with: n_estimators=1400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466874003410339
Training with: n_estimators=1600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467588067054749
Training with: n_estimators=1800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467112421989441
Training with: n_estimators=2000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946589469909668
Training with: n_estimators=200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9449535608291626
Training with: n_estimators=400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447282552719116
Training with: n_estimators=600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447539448738098
Training with: n_estimators=800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447002410888672
Training with: n_estimators=1000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446334838867188
Training with: n_estimators=1200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.944669783115387
Training with: n_estimators=1400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446317553520203
Training with: n_estimators=1600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446738958358765
Training with: n_estimators=1800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446406364440918
Training with: n_estimators=2000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9445353150367737
Training with: n_estimators=200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9424594640731812
Training with: n_estimators=400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420421123504639
Training with: n_estimators=600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942036509513855
Training with: n_estimators=800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420612454414368
Training with: n_estimators=1000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420391917228699
Training with: n_estimators=1200, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420535564422607
Training with: n_estimators=1400, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420365691184998
Training with: n_estimators=1600, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942111611366272
Training with: n_estimators=1800, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420913457870483
Training with: n_estimators=2000, max_depth=40, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9419872760772705
Training with: n_estimators=200, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.955218493938446
Training with: n_estimators=400, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550700783729553
Training with: n_estimators=600, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550651907920837
Training with: n_estimators=800, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550322890281677
Training with: n_estimators=1000, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550878405570984
Training with: n_estimators=1200, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551078677177429
Training with: n_estimators=1400, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551146626472473
Training with: n_estimators=1600, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551278948783875
Training with: n_estimators=1800, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551370143890381
Training with: n_estimators=2000, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551090598106384
Training with: n_estimators=200, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9540285468101501
Training with: n_estimators=400, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539220333099365
Training with: n_estimators=600, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953902542591095
Training with: n_estimators=800, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538495540618896
Training with: n_estimators=1000, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538978934288025
Training with: n_estimators=1200, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539040923118591
Training with: n_estimators=1400, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539139270782471
Training with: n_estimators=1600, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953932523727417
Training with: n_estimators=1800, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539390802383423
Training with: n_estimators=2000, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539044499397278
Training with: n_estimators=200, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510226845741272
Training with: n_estimators=400, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510024189949036
Training with: n_estimators=600, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510369300842285
Training with: n_estimators=800, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510142803192139
Training with: n_estimators=1000, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509890079498291
Training with: n_estimators=1200, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.95099276304245
Training with: n_estimators=1400, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509879946708679
Training with: n_estimators=1600, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509960412979126
Training with: n_estimators=1800, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510127902030945
Training with: n_estimators=2000, max_depth=50, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509884715080261
Training with: n_estimators=200, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9528093934059143
Training with: n_estimators=400, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527286291122437
Training with: n_estimators=600, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527900218963623
Training with: n_estimators=800, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527425765991211
Training with: n_estimators=1000, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527572989463806
Training with: n_estimators=1200, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1400, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527350068092346
Training with: n_estimators=1600, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1800, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527515769004822
Training with: n_estimators=2000, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527204036712646
Training with: n_estimators=200, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525949358940125
Training with: n_estimators=400, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525034427642822
Training with: n_estimators=600, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525608420372009
Training with: n_estimators=800, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524984955787659
Training with: n_estimators=1000, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.952509343624115
Training with: n_estimators=1200, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525042772293091
Training with: n_estimators=1400, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524971842765808
Training with: n_estimators=1600, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525136351585388
Training with: n_estimators=1800, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525238275527954
Training with: n_estimators=2000, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524924159049988
Training with: n_estimators=200, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504606127738953
Training with: n_estimators=400, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503529071807861
Training with: n_estimators=600, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504228830337524
Training with: n_estimators=800, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503744840621948
Training with: n_estimators=1000, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1200, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1400, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503262042999268
Training with: n_estimators=1600, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.950348973274231
Training with: n_estimators=1800, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503633975982666
Training with: n_estimators=2000, max_depth=50, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503360390663147
Training with: n_estimators=200, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485816359519958
Training with: n_estimators=400, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485252499580383
Training with: n_estimators=600, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485847353935242
Training with: n_estimators=800, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485470056533813
Training with: n_estimators=1000, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485386610031128
Training with: n_estimators=1200, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485254287719727
Training with: n_estimators=1400, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.94850093126297
Training with: n_estimators=1600, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485029578208923
Training with: n_estimators=1800, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.948509156703949
Training with: n_estimators=2000, max_depth=50, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9484851956367493
Training with: n_estimators=200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.95073002576828
Training with: n_estimators=400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9502129554748535
Training with: n_estimators=600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501633048057556
Training with: n_estimators=800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501429200172424
Training with: n_estimators=1000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501240253448486
Training with: n_estimators=1200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500833749771118
Training with: n_estimators=1400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500588178634644
Training with: n_estimators=1600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.950143575668335
Training with: n_estimators=1800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500648975372314
Training with: n_estimators=2000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9499533176422119
Training with: n_estimators=200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9493488669395447
Training with: n_estimators=400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490910172462463
Training with: n_estimators=600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.949018120765686
Training with: n_estimators=800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490079283714294
Training with: n_estimators=1000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490408301353455
Training with: n_estimators=1200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489743113517761
Training with: n_estimators=1400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489904642105103
Training with: n_estimators=1600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490678310394287
Training with: n_estimators=1800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490398168563843
Training with: n_estimators=2000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489304423332214
Training with: n_estimators=200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9461058974266052
Training with: n_estimators=400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9459824562072754
Training with: n_estimators=600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458006024360657
Training with: n_estimators=800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458045363426208
Training with: n_estimators=1000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457817673683167
Training with: n_estimators=1200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457921385765076
Training with: n_estimators=1400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457797408103943
Training with: n_estimators=1600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458362460136414
Training with: n_estimators=1800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458028674125671
Training with: n_estimators=2000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.945726215839386
Training with: n_estimators=200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9470425248146057
Training with: n_estimators=400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467761516571045
Training with: n_estimators=600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468879699707031
Training with: n_estimators=800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468616843223572
Training with: n_estimators=1000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468566179275513
Training with: n_estimators=1200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468818306922913
Training with: n_estimators=1400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468923807144165
Training with: n_estimators=1600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469588994979858
Training with: n_estimators=1800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469030499458313
Training with: n_estimators=2000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467869997024536
Training with: n_estimators=200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9469257593154907
Training with: n_estimators=400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946654200553894
Training with: n_estimators=600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467254877090454
Training with: n_estimators=800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466690421104431
Training with: n_estimators=1000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946692705154419
Training with: n_estimators=1200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466753602027893
Training with: n_estimators=1400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466874003410339
Training with: n_estimators=1600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467588067054749
Training with: n_estimators=1800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467112421989441
Training with: n_estimators=2000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946589469909668
Training with: n_estimators=200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9449535608291626
Training with: n_estimators=400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447282552719116
Training with: n_estimators=600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447539448738098
Training with: n_estimators=800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447002410888672
Training with: n_estimators=1000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446334838867188
Training with: n_estimators=1200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.944669783115387
Training with: n_estimators=1400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446317553520203
Training with: n_estimators=1600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446738958358765
Training with: n_estimators=1800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446406364440918
Training with: n_estimators=2000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9445353150367737
Training with: n_estimators=200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9424594640731812
Training with: n_estimators=400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420421123504639
Training with: n_estimators=600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942036509513855
Training with: n_estimators=800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420612454414368
Training with: n_estimators=1000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420391917228699
Training with: n_estimators=1200, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420535564422607
Training with: n_estimators=1400, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420365691184998
Training with: n_estimators=1600, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942111611366272
Training with: n_estimators=1800, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420913457870483
Training with: n_estimators=2000, max_depth=50, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9419872760772705
Training with: n_estimators=200, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.955218493938446
Training with: n_estimators=400, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550700783729553
Training with: n_estimators=600, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550651907920837
Training with: n_estimators=800, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550322890281677
Training with: n_estimators=1000, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550878405570984
Training with: n_estimators=1200, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551078677177429
Training with: n_estimators=1400, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551146626472473
Training with: n_estimators=1600, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551278948783875
Training with: n_estimators=1800, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551370143890381
Training with: n_estimators=2000, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551090598106384
Training with: n_estimators=200, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9540285468101501
Training with: n_estimators=400, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539220333099365
Training with: n_estimators=600, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953902542591095
Training with: n_estimators=800, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538495540618896
Training with: n_estimators=1000, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538978934288025
Training with: n_estimators=1200, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539040923118591
Training with: n_estimators=1400, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539139270782471
Training with: n_estimators=1600, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953932523727417
Training with: n_estimators=1800, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539390802383423
Training with: n_estimators=2000, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539044499397278
Training with: n_estimators=200, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510226845741272
Training with: n_estimators=400, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510024189949036
Training with: n_estimators=600, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510369300842285
Training with: n_estimators=800, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510142803192139
Training with: n_estimators=1000, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509890079498291
Training with: n_estimators=1200, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.95099276304245
Training with: n_estimators=1400, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509879946708679
Training with: n_estimators=1600, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509960412979126
Training with: n_estimators=1800, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510127902030945
Training with: n_estimators=2000, max_depth=60, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509884715080261
Training with: n_estimators=200, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9528093934059143
Training with: n_estimators=400, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527286291122437
Training with: n_estimators=600, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527900218963623
Training with: n_estimators=800, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527425765991211
Training with: n_estimators=1000, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527572989463806
Training with: n_estimators=1200, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1400, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527350068092346
Training with: n_estimators=1600, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1800, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527515769004822
Training with: n_estimators=2000, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527204036712646
Training with: n_estimators=200, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525949358940125
Training with: n_estimators=400, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525034427642822
Training with: n_estimators=600, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525608420372009
Training with: n_estimators=800, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524984955787659
Training with: n_estimators=1000, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.952509343624115
Training with: n_estimators=1200, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525042772293091
Training with: n_estimators=1400, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524971842765808
Training with: n_estimators=1600, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525136351585388
Training with: n_estimators=1800, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525238275527954
Training with: n_estimators=2000, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524924159049988
Training with: n_estimators=200, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504606127738953
Training with: n_estimators=400, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503529071807861
Training with: n_estimators=600, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504228830337524
Training with: n_estimators=800, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503744840621948
Training with: n_estimators=1000, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1200, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1400, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503262042999268
Training with: n_estimators=1600, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.950348973274231
Training with: n_estimators=1800, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503633975982666
Training with: n_estimators=2000, max_depth=60, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503360390663147
Training with: n_estimators=200, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485816359519958
Training with: n_estimators=400, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485252499580383
Training with: n_estimators=600, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485847353935242
Training with: n_estimators=800, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485470056533813
Training with: n_estimators=1000, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485386610031128
Training with: n_estimators=1200, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485254287719727
Training with: n_estimators=1400, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.94850093126297
Training with: n_estimators=1600, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485029578208923
Training with: n_estimators=1800, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.948509156703949
Training with: n_estimators=2000, max_depth=60, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9484851956367493
Training with: n_estimators=200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.95073002576828
Training with: n_estimators=400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9502129554748535
Training with: n_estimators=600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501633048057556
Training with: n_estimators=800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501429200172424
Training with: n_estimators=1000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501240253448486
Training with: n_estimators=1200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500833749771118
Training with: n_estimators=1400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500588178634644
Training with: n_estimators=1600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.950143575668335
Training with: n_estimators=1800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500648975372314
Training with: n_estimators=2000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9499533176422119
Training with: n_estimators=200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9493488669395447
Training with: n_estimators=400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490910172462463
Training with: n_estimators=600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.949018120765686
Training with: n_estimators=800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490079283714294
Training with: n_estimators=1000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490408301353455
Training with: n_estimators=1200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489743113517761
Training with: n_estimators=1400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489904642105103
Training with: n_estimators=1600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490678310394287
Training with: n_estimators=1800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490398168563843
Training with: n_estimators=2000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489304423332214
Training with: n_estimators=200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9461058974266052
Training with: n_estimators=400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9459824562072754
Training with: n_estimators=600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458006024360657
Training with: n_estimators=800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458045363426208
Training with: n_estimators=1000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457817673683167
Training with: n_estimators=1200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457921385765076
Training with: n_estimators=1400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457797408103943
Training with: n_estimators=1600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458362460136414
Training with: n_estimators=1800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458028674125671
Training with: n_estimators=2000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.945726215839386
Training with: n_estimators=200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9470425248146057
Training with: n_estimators=400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467761516571045
Training with: n_estimators=600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468879699707031
Training with: n_estimators=800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468616843223572
Training with: n_estimators=1000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468566179275513
Training with: n_estimators=1200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468818306922913
Training with: n_estimators=1400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468923807144165
Training with: n_estimators=1600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469588994979858
Training with: n_estimators=1800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469030499458313
Training with: n_estimators=2000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467869997024536
Training with: n_estimators=200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9469257593154907
Training with: n_estimators=400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946654200553894
Training with: n_estimators=600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467254877090454
Training with: n_estimators=800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466690421104431
Training with: n_estimators=1000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946692705154419
Training with: n_estimators=1200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466753602027893
Training with: n_estimators=1400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466874003410339
Training with: n_estimators=1600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467588067054749
Training with: n_estimators=1800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467112421989441
Training with: n_estimators=2000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946589469909668
Training with: n_estimators=200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9449535608291626
Training with: n_estimators=400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447282552719116
Training with: n_estimators=600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447539448738098
Training with: n_estimators=800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447002410888672
Training with: n_estimators=1000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446334838867188
Training with: n_estimators=1200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.944669783115387
Training with: n_estimators=1400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446317553520203
Training with: n_estimators=1600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446738958358765
Training with: n_estimators=1800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446406364440918
Training with: n_estimators=2000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9445353150367737
Training with: n_estimators=200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9424594640731812
Training with: n_estimators=400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420421123504639
Training with: n_estimators=600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942036509513855
Training with: n_estimators=800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420612454414368
Training with: n_estimators=1000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420391917228699
Training with: n_estimators=1200, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420535564422607
Training with: n_estimators=1400, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420365691184998
Training with: n_estimators=1600, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942111611366272
Training with: n_estimators=1800, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420913457870483
Training with: n_estimators=2000, max_depth=60, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9419872760772705
Training with: n_estimators=200, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.955218493938446
Training with: n_estimators=400, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550700783729553
Training with: n_estimators=600, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550651907920837
Training with: n_estimators=800, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550322890281677
Training with: n_estimators=1000, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550878405570984
Training with: n_estimators=1200, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551078677177429
Training with: n_estimators=1400, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551146626472473
Training with: n_estimators=1600, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551278948783875
Training with: n_estimators=1800, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551370143890381
Training with: n_estimators=2000, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551090598106384
Training with: n_estimators=200, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9540285468101501
Training with: n_estimators=400, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539220333099365
Training with: n_estimators=600, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953902542591095
Training with: n_estimators=800, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538495540618896
Training with: n_estimators=1000, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538978934288025
Training with: n_estimators=1200, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539040923118591
Training with: n_estimators=1400, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539139270782471
Training with: n_estimators=1600, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953932523727417
Training with: n_estimators=1800, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539390802383423
Training with: n_estimators=2000, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539044499397278
Training with: n_estimators=200, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510226845741272
Training with: n_estimators=400, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510024189949036
Training with: n_estimators=600, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510369300842285
Training with: n_estimators=800, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510142803192139
Training with: n_estimators=1000, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509890079498291
Training with: n_estimators=1200, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.95099276304245
Training with: n_estimators=1400, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509879946708679
Training with: n_estimators=1600, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509960412979126
Training with: n_estimators=1800, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510127902030945
Training with: n_estimators=2000, max_depth=70, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509884715080261
Training with: n_estimators=200, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9528093934059143
Training with: n_estimators=400, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527286291122437
Training with: n_estimators=600, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527900218963623
Training with: n_estimators=800, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527425765991211
Training with: n_estimators=1000, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527572989463806
Training with: n_estimators=1200, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1400, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527350068092346
Training with: n_estimators=1600, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1800, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527515769004822
Training with: n_estimators=2000, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527204036712646
Training with: n_estimators=200, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525949358940125
Training with: n_estimators=400, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525034427642822
Training with: n_estimators=600, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525608420372009
Training with: n_estimators=800, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524984955787659
Training with: n_estimators=1000, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.952509343624115
Training with: n_estimators=1200, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525042772293091
Training with: n_estimators=1400, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524971842765808
Training with: n_estimators=1600, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525136351585388
Training with: n_estimators=1800, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525238275527954
Training with: n_estimators=2000, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524924159049988
Training with: n_estimators=200, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504606127738953
Training with: n_estimators=400, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503529071807861
Training with: n_estimators=600, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504228830337524
Training with: n_estimators=800, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503744840621948
Training with: n_estimators=1000, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1200, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1400, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503262042999268
Training with: n_estimators=1600, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.950348973274231
Training with: n_estimators=1800, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503633975982666
Training with: n_estimators=2000, max_depth=70, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503360390663147
Training with: n_estimators=200, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485816359519958
Training with: n_estimators=400, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485252499580383
Training with: n_estimators=600, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485847353935242
Training with: n_estimators=800, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485470056533813
Training with: n_estimators=1000, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485386610031128
Training with: n_estimators=1200, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485254287719727
Training with: n_estimators=1400, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.94850093126297
Training with: n_estimators=1600, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485029578208923
Training with: n_estimators=1800, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.948509156703949
Training with: n_estimators=2000, max_depth=70, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9484851956367493
Training with: n_estimators=200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.95073002576828
Training with: n_estimators=400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9502129554748535
Training with: n_estimators=600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501633048057556
Training with: n_estimators=800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501429200172424
Training with: n_estimators=1000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501240253448486
Training with: n_estimators=1200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500833749771118
Training with: n_estimators=1400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500588178634644
Training with: n_estimators=1600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.950143575668335
Training with: n_estimators=1800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500648975372314
Training with: n_estimators=2000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9499533176422119
Training with: n_estimators=200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9493488669395447
Training with: n_estimators=400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490910172462463
Training with: n_estimators=600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.949018120765686
Training with: n_estimators=800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490079283714294
Training with: n_estimators=1000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490408301353455
Training with: n_estimators=1200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489743113517761
Training with: n_estimators=1400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489904642105103
Training with: n_estimators=1600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490678310394287
Training with: n_estimators=1800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490398168563843
Training with: n_estimators=2000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489304423332214
Training with: n_estimators=200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9461058974266052
Training with: n_estimators=400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9459824562072754
Training with: n_estimators=600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458006024360657
Training with: n_estimators=800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458045363426208
Training with: n_estimators=1000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457817673683167
Training with: n_estimators=1200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457921385765076
Training with: n_estimators=1400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457797408103943
Training with: n_estimators=1600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458362460136414
Training with: n_estimators=1800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458028674125671
Training with: n_estimators=2000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.945726215839386
Training with: n_estimators=200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9470425248146057
Training with: n_estimators=400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467761516571045
Training with: n_estimators=600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468879699707031
Training with: n_estimators=800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468616843223572
Training with: n_estimators=1000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468566179275513
Training with: n_estimators=1200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468818306922913
Training with: n_estimators=1400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468923807144165
Training with: n_estimators=1600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469588994979858
Training with: n_estimators=1800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469030499458313
Training with: n_estimators=2000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467869997024536
Training with: n_estimators=200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9469257593154907
Training with: n_estimators=400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946654200553894
Training with: n_estimators=600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467254877090454
Training with: n_estimators=800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466690421104431
Training with: n_estimators=1000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946692705154419
Training with: n_estimators=1200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466753602027893
Training with: n_estimators=1400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466874003410339
Training with: n_estimators=1600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467588067054749
Training with: n_estimators=1800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467112421989441
Training with: n_estimators=2000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946589469909668
Training with: n_estimators=200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9449535608291626
Training with: n_estimators=400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447282552719116
Training with: n_estimators=600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447539448738098
Training with: n_estimators=800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447002410888672
Training with: n_estimators=1000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446334838867188
Training with: n_estimators=1200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.944669783115387
Training with: n_estimators=1400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446317553520203
Training with: n_estimators=1600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446738958358765
Training with: n_estimators=1800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446406364440918
Training with: n_estimators=2000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9445353150367737
Training with: n_estimators=200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9424594640731812
Training with: n_estimators=400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420421123504639
Training with: n_estimators=600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942036509513855
Training with: n_estimators=800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420612454414368
Training with: n_estimators=1000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420391917228699
Training with: n_estimators=1200, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420535564422607
Training with: n_estimators=1400, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420365691184998
Training with: n_estimators=1600, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942111611366272
Training with: n_estimators=1800, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420913457870483
Training with: n_estimators=2000, max_depth=70, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9419872760772705
Training with: n_estimators=200, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.955218493938446
Training with: n_estimators=400, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550700783729553
Training with: n_estimators=600, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550651907920837
Training with: n_estimators=800, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550322890281677
Training with: n_estimators=1000, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550878405570984
Training with: n_estimators=1200, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551078677177429
Training with: n_estimators=1400, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551146626472473
Training with: n_estimators=1600, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551278948783875
Training with: n_estimators=1800, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551370143890381
Training with: n_estimators=2000, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551090598106384
Training with: n_estimators=200, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9540285468101501
Training with: n_estimators=400, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539220333099365
Training with: n_estimators=600, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953902542591095
Training with: n_estimators=800, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538495540618896
Training with: n_estimators=1000, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538978934288025
Training with: n_estimators=1200, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539040923118591
Training with: n_estimators=1400, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539139270782471
Training with: n_estimators=1600, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953932523727417
Training with: n_estimators=1800, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539390802383423
Training with: n_estimators=2000, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539044499397278
Training with: n_estimators=200, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510226845741272
Training with: n_estimators=400, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510024189949036
Training with: n_estimators=600, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510369300842285
Training with: n_estimators=800, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510142803192139
Training with: n_estimators=1000, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509890079498291
Training with: n_estimators=1200, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.95099276304245
Training with: n_estimators=1400, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509879946708679
Training with: n_estimators=1600, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509960412979126
Training with: n_estimators=1800, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510127902030945
Training with: n_estimators=2000, max_depth=80, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509884715080261
Training with: n_estimators=200, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9528093934059143
Training with: n_estimators=400, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527286291122437
Training with: n_estimators=600, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527900218963623
Training with: n_estimators=800, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527425765991211
Training with: n_estimators=1000, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527572989463806
Training with: n_estimators=1200, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1400, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527350068092346
Training with: n_estimators=1600, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1800, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527515769004822
Training with: n_estimators=2000, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527204036712646
Training with: n_estimators=200, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525949358940125
Training with: n_estimators=400, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525034427642822
Training with: n_estimators=600, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525608420372009
Training with: n_estimators=800, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524984955787659
Training with: n_estimators=1000, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.952509343624115
Training with: n_estimators=1200, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525042772293091
Training with: n_estimators=1400, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524971842765808
Training with: n_estimators=1600, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525136351585388
Training with: n_estimators=1800, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525238275527954
Training with: n_estimators=2000, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524924159049988
Training with: n_estimators=200, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504606127738953
Training with: n_estimators=400, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503529071807861
Training with: n_estimators=600, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504228830337524
Training with: n_estimators=800, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503744840621948
Training with: n_estimators=1000, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1200, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1400, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503262042999268
Training with: n_estimators=1600, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.950348973274231
Training with: n_estimators=1800, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503633975982666
Training with: n_estimators=2000, max_depth=80, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503360390663147
Training with: n_estimators=200, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485816359519958
Training with: n_estimators=400, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485252499580383
Training with: n_estimators=600, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485847353935242
Training with: n_estimators=800, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485470056533813
Training with: n_estimators=1000, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485386610031128
Training with: n_estimators=1200, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485254287719727
Training with: n_estimators=1400, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.94850093126297
Training with: n_estimators=1600, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485029578208923
Training with: n_estimators=1800, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.948509156703949
Training with: n_estimators=2000, max_depth=80, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9484851956367493
Training with: n_estimators=200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.95073002576828
Training with: n_estimators=400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9502129554748535
Training with: n_estimators=600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501633048057556
Training with: n_estimators=800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501429200172424
Training with: n_estimators=1000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501240253448486
Training with: n_estimators=1200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500833749771118
Training with: n_estimators=1400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500588178634644
Training with: n_estimators=1600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.950143575668335
Training with: n_estimators=1800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500648975372314
Training with: n_estimators=2000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9499533176422119
Training with: n_estimators=200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9493488669395447
Training with: n_estimators=400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490910172462463
Training with: n_estimators=600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.949018120765686
Training with: n_estimators=800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490079283714294
Training with: n_estimators=1000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490408301353455
Training with: n_estimators=1200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489743113517761
Training with: n_estimators=1400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489904642105103
Training with: n_estimators=1600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490678310394287
Training with: n_estimators=1800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490398168563843
Training with: n_estimators=2000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489304423332214
Training with: n_estimators=200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9461058974266052
Training with: n_estimators=400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9459824562072754
Training with: n_estimators=600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458006024360657
Training with: n_estimators=800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458045363426208
Training with: n_estimators=1000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457817673683167
Training with: n_estimators=1200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457921385765076
Training with: n_estimators=1400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457797408103943
Training with: n_estimators=1600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458362460136414
Training with: n_estimators=1800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458028674125671
Training with: n_estimators=2000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.945726215839386
Training with: n_estimators=200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9470425248146057
Training with: n_estimators=400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467761516571045
Training with: n_estimators=600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468879699707031
Training with: n_estimators=800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468616843223572
Training with: n_estimators=1000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468566179275513
Training with: n_estimators=1200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468818306922913
Training with: n_estimators=1400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468923807144165
Training with: n_estimators=1600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469588994979858
Training with: n_estimators=1800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469030499458313
Training with: n_estimators=2000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467869997024536
Training with: n_estimators=200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9469257593154907
Training with: n_estimators=400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946654200553894
Training with: n_estimators=600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467254877090454
Training with: n_estimators=800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466690421104431
Training with: n_estimators=1000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946692705154419
Training with: n_estimators=1200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466753602027893
Training with: n_estimators=1400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466874003410339
Training with: n_estimators=1600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467588067054749
Training with: n_estimators=1800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467112421989441
Training with: n_estimators=2000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946589469909668
Training with: n_estimators=200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9449535608291626
Training with: n_estimators=400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447282552719116
Training with: n_estimators=600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447539448738098
Training with: n_estimators=800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447002410888672
Training with: n_estimators=1000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446334838867188
Training with: n_estimators=1200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.944669783115387
Training with: n_estimators=1400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446317553520203
Training with: n_estimators=1600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446738958358765
Training with: n_estimators=1800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446406364440918
Training with: n_estimators=2000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9445353150367737
Training with: n_estimators=200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9424594640731812
Training with: n_estimators=400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420421123504639
Training with: n_estimators=600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942036509513855
Training with: n_estimators=800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420612454414368
Training with: n_estimators=1000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420391917228699
Training with: n_estimators=1200, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420535564422607
Training with: n_estimators=1400, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420365691184998
Training with: n_estimators=1600, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942111611366272
Training with: n_estimators=1800, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420913457870483
Training with: n_estimators=2000, max_depth=80, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9419872760772705
Training with: n_estimators=200, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.955218493938446
Training with: n_estimators=400, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550700783729553
Training with: n_estimators=600, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550651907920837
Training with: n_estimators=800, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550322890281677
Training with: n_estimators=1000, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550878405570984
Training with: n_estimators=1200, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551078677177429
Training with: n_estimators=1400, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551146626472473
Training with: n_estimators=1600, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551278948783875
Training with: n_estimators=1800, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551370143890381
Training with: n_estimators=2000, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551090598106384
Training with: n_estimators=200, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9540285468101501
Training with: n_estimators=400, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539220333099365
Training with: n_estimators=600, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953902542591095
Training with: n_estimators=800, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538495540618896
Training with: n_estimators=1000, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538978934288025
Training with: n_estimators=1200, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539040923118591
Training with: n_estimators=1400, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539139270782471
Training with: n_estimators=1600, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953932523727417
Training with: n_estimators=1800, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539390802383423
Training with: n_estimators=2000, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539044499397278
Training with: n_estimators=200, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510226845741272
Training with: n_estimators=400, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510024189949036
Training with: n_estimators=600, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510369300842285
Training with: n_estimators=800, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510142803192139
Training with: n_estimators=1000, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509890079498291
Training with: n_estimators=1200, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.95099276304245
Training with: n_estimators=1400, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509879946708679
Training with: n_estimators=1600, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509960412979126
Training with: n_estimators=1800, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510127902030945
Training with: n_estimators=2000, max_depth=90, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509884715080261
Training with: n_estimators=200, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9528093934059143
Training with: n_estimators=400, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527286291122437
Training with: n_estimators=600, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527900218963623
Training with: n_estimators=800, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527425765991211
Training with: n_estimators=1000, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527572989463806
Training with: n_estimators=1200, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1400, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527350068092346
Training with: n_estimators=1600, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1800, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527515769004822
Training with: n_estimators=2000, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527204036712646
Training with: n_estimators=200, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525949358940125
Training with: n_estimators=400, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525034427642822
Training with: n_estimators=600, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525608420372009
Training with: n_estimators=800, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524984955787659
Training with: n_estimators=1000, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.952509343624115
Training with: n_estimators=1200, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525042772293091
Training with: n_estimators=1400, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524971842765808
Training with: n_estimators=1600, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525136351585388
Training with: n_estimators=1800, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525238275527954
Training with: n_estimators=2000, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524924159049988
Training with: n_estimators=200, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504606127738953
Training with: n_estimators=400, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503529071807861
Training with: n_estimators=600, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504228830337524
Training with: n_estimators=800, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503744840621948
Training with: n_estimators=1000, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1200, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1400, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503262042999268
Training with: n_estimators=1600, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.950348973274231
Training with: n_estimators=1800, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503633975982666
Training with: n_estimators=2000, max_depth=90, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503360390663147
Training with: n_estimators=200, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485816359519958
Training with: n_estimators=400, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485252499580383
Training with: n_estimators=600, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485847353935242
Training with: n_estimators=800, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485470056533813
Training with: n_estimators=1000, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485386610031128
Training with: n_estimators=1200, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485254287719727
Training with: n_estimators=1400, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.94850093126297
Training with: n_estimators=1600, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485029578208923
Training with: n_estimators=1800, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.948509156703949
Training with: n_estimators=2000, max_depth=90, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9484851956367493
Training with: n_estimators=200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.95073002576828
Training with: n_estimators=400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9502129554748535
Training with: n_estimators=600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501633048057556
Training with: n_estimators=800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501429200172424
Training with: n_estimators=1000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501240253448486
Training with: n_estimators=1200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500833749771118
Training with: n_estimators=1400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500588178634644
Training with: n_estimators=1600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.950143575668335
Training with: n_estimators=1800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500648975372314
Training with: n_estimators=2000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9499533176422119
Training with: n_estimators=200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9493488669395447
Training with: n_estimators=400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490910172462463
Training with: n_estimators=600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.949018120765686
Training with: n_estimators=800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490079283714294
Training with: n_estimators=1000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490408301353455
Training with: n_estimators=1200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489743113517761
Training with: n_estimators=1400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489904642105103
Training with: n_estimators=1600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490678310394287
Training with: n_estimators=1800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490398168563843
Training with: n_estimators=2000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489304423332214
Training with: n_estimators=200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9461058974266052
Training with: n_estimators=400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9459824562072754
Training with: n_estimators=600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458006024360657
Training with: n_estimators=800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458045363426208
Training with: n_estimators=1000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457817673683167
Training with: n_estimators=1200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457921385765076
Training with: n_estimators=1400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457797408103943
Training with: n_estimators=1600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458362460136414
Training with: n_estimators=1800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458028674125671
Training with: n_estimators=2000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.945726215839386
Training with: n_estimators=200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9470425248146057
Training with: n_estimators=400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467761516571045
Training with: n_estimators=600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468879699707031
Training with: n_estimators=800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468616843223572
Training with: n_estimators=1000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468566179275513
Training with: n_estimators=1200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468818306922913
Training with: n_estimators=1400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468923807144165
Training with: n_estimators=1600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469588994979858
Training with: n_estimators=1800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469030499458313
Training with: n_estimators=2000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467869997024536
Training with: n_estimators=200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9469257593154907
Training with: n_estimators=400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946654200553894
Training with: n_estimators=600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467254877090454
Training with: n_estimators=800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466690421104431
Training with: n_estimators=1000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946692705154419
Training with: n_estimators=1200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466753602027893
Training with: n_estimators=1400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466874003410339
Training with: n_estimators=1600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467588067054749
Training with: n_estimators=1800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467112421989441
Training with: n_estimators=2000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946589469909668
Training with: n_estimators=200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9449535608291626
Training with: n_estimators=400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447282552719116
Training with: n_estimators=600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447539448738098
Training with: n_estimators=800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447002410888672
Training with: n_estimators=1000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446334838867188
Training with: n_estimators=1200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.944669783115387
Training with: n_estimators=1400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446317553520203
Training with: n_estimators=1600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446738958358765
Training with: n_estimators=1800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446406364440918
Training with: n_estimators=2000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9445353150367737
Training with: n_estimators=200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9424594640731812
Training with: n_estimators=400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420421123504639
Training with: n_estimators=600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942036509513855
Training with: n_estimators=800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420612454414368
Training with: n_estimators=1000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420391917228699
Training with: n_estimators=1200, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420535564422607
Training with: n_estimators=1400, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420365691184998
Training with: n_estimators=1600, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942111611366272
Training with: n_estimators=1800, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420913457870483
Training with: n_estimators=2000, max_depth=90, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9419872760772705
Training with: n_estimators=200, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.955218493938446
Training with: n_estimators=400, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550700783729553
Training with: n_estimators=600, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550651907920837
Training with: n_estimators=800, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550322890281677
Training with: n_estimators=1000, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9550878405570984
Training with: n_estimators=1200, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551078677177429
Training with: n_estimators=1400, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551146626472473
Training with: n_estimators=1600, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551278948783875
Training with: n_estimators=1800, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551370143890381
Training with: n_estimators=2000, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9551090598106384
Training with: n_estimators=200, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9540285468101501
Training with: n_estimators=400, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539220333099365
Training with: n_estimators=600, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953902542591095
Training with: n_estimators=800, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538495540618896
Training with: n_estimators=1000, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9538978934288025
Training with: n_estimators=1200, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539040923118591
Training with: n_estimators=1400, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539139270782471
Training with: n_estimators=1600, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.953932523727417
Training with: n_estimators=1800, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539390802383423
Training with: n_estimators=2000, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9539044499397278
Training with: n_estimators=200, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510226845741272
Training with: n_estimators=400, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510024189949036
Training with: n_estimators=600, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510369300842285
Training with: n_estimators=800, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510142803192139
Training with: n_estimators=1000, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509890079498291
Training with: n_estimators=1200, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.95099276304245
Training with: n_estimators=1400, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509879946708679
Training with: n_estimators=1600, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509960412979126
Training with: n_estimators=1800, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9510127902030945
Training with: n_estimators=2000, max_depth=100, max_features=1.0, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9509884715080261
Training with: n_estimators=200, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9528093934059143
Training with: n_estimators=400, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527286291122437
Training with: n_estimators=600, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527900218963623
Training with: n_estimators=800, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527425765991211
Training with: n_estimators=1000, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527572989463806
Training with: n_estimators=1200, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1400, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527350068092346
Training with: n_estimators=1600, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527438282966614
Training with: n_estimators=1800, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527515769004822
Training with: n_estimators=2000, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9527204036712646
Training with: n_estimators=200, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525949358940125
Training with: n_estimators=400, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525034427642822
Training with: n_estimators=600, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525608420372009
Training with: n_estimators=800, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524984955787659
Training with: n_estimators=1000, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.952509343624115
Training with: n_estimators=1200, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525042772293091
Training with: n_estimators=1400, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524971842765808
Training with: n_estimators=1600, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525136351585388
Training with: n_estimators=1800, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9525238275527954
Training with: n_estimators=2000, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9524924159049988
Training with: n_estimators=200, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504606127738953
Training with: n_estimators=400, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503529071807861
Training with: n_estimators=600, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9504228830337524
Training with: n_estimators=800, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503744840621948
Training with: n_estimators=1000, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1200, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503458738327026
Training with: n_estimators=1400, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503262042999268
Training with: n_estimators=1600, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.950348973274231
Training with: n_estimators=1800, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503633975982666
Training with: n_estimators=2000, max_depth=100, max_features=1.0, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9503360390663147
Training with: n_estimators=200, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489457011222839
Training with: n_estimators=400, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488570094108582
Training with: n_estimators=600, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489189982414246
Training with: n_estimators=800, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489098787307739
Training with: n_estimators=1000, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489037394523621
Training with: n_estimators=1200, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489011168479919
Training with: n_estimators=1400, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488667249679565
Training with: n_estimators=1600, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488741159439087
Training with: n_estimators=1800, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488797783851624
Training with: n_estimators=2000, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9488527178764343
Training with: n_estimators=200, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485816359519958
Training with: n_estimators=400, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485252499580383
Training with: n_estimators=600, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485847353935242
Training with: n_estimators=800, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485470056533813
Training with: n_estimators=1000, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485386610031128
Training with: n_estimators=1200, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485254287719727
Training with: n_estimators=1400, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.94850093126297
Training with: n_estimators=1600, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9485029578208923
Training with: n_estimators=1800, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.948509156703949
Training with: n_estimators=2000, max_depth=100, max_features=1.0, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9484851956367493
Training with: n_estimators=200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.95073002576828
Training with: n_estimators=400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9502129554748535
Training with: n_estimators=600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501633048057556
Training with: n_estimators=800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501429200172424
Training with: n_estimators=1000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9501240253448486
Training with: n_estimators=1200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500833749771118
Training with: n_estimators=1400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500588178634644
Training with: n_estimators=1600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.950143575668335
Training with: n_estimators=1800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9500648975372314
Training with: n_estimators=2000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=2, bootstrap=True
R^2 Score: 0.9499533176422119
Training with: n_estimators=200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9493488669395447
Training with: n_estimators=400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490910172462463
Training with: n_estimators=600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.949018120765686
Training with: n_estimators=800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490079283714294
Training with: n_estimators=1000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490408301353455
Training with: n_estimators=1200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489743113517761
Training with: n_estimators=1400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489904642105103
Training with: n_estimators=1600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490678310394287
Training with: n_estimators=1800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9490398168563843
Training with: n_estimators=2000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=5, bootstrap=True
R^2 Score: 0.9489304423332214
Training with: n_estimators=200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9461058974266052
Training with: n_estimators=400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9459824562072754
Training with: n_estimators=600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458006024360657
Training with: n_estimators=800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458045363426208
Training with: n_estimators=1000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457817673683167
Training with: n_estimators=1200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457921385765076
Training with: n_estimators=1400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9457797408103943
Training with: n_estimators=1600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458362460136414
Training with: n_estimators=1800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.9458028674125671
Training with: n_estimators=2000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=1, min_samples_split=10, bootstrap=True
R^2 Score: 0.945726215839386
Training with: n_estimators=200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9470425248146057
Training with: n_estimators=400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467761516571045
Training with: n_estimators=600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468879699707031
Training with: n_estimators=800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468616843223572
Training with: n_estimators=1000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468566179275513
Training with: n_estimators=1200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468818306922913
Training with: n_estimators=1400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9468923807144165
Training with: n_estimators=1600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469588994979858
Training with: n_estimators=1800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9469030499458313
Training with: n_estimators=2000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=2, bootstrap=True
R^2 Score: 0.9467869997024536
Training with: n_estimators=200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9469257593154907
Training with: n_estimators=400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946654200553894
Training with: n_estimators=600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467254877090454
Training with: n_estimators=800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466690421104431
Training with: n_estimators=1000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946692705154419
Training with: n_estimators=1200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466753602027893
Training with: n_estimators=1400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9466874003410339
Training with: n_estimators=1600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467588067054749
Training with: n_estimators=1800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.9467112421989441
Training with: n_estimators=2000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=5, bootstrap=True
R^2 Score: 0.946589469909668
Training with: n_estimators=200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9449535608291626
Training with: n_estimators=400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447282552719116
Training with: n_estimators=600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447539448738098
Training with: n_estimators=800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9447002410888672
Training with: n_estimators=1000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446334838867188
Training with: n_estimators=1200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.944669783115387
Training with: n_estimators=1400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446317553520203
Training with: n_estimators=1600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446738958358765
Training with: n_estimators=1800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9446406364440918
Training with: n_estimators=2000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=2, min_samples_split=10, bootstrap=True
R^2 Score: 0.9445353150367737
Training with: n_estimators=200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=2, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9429272413253784
Training with: n_estimators=400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424336552619934
Training with: n_estimators=600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424007534980774
Training with: n_estimators=800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942371666431427
Training with: n_estimators=1000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423441290855408
Training with: n_estimators=1200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423642158508301
Training with: n_estimators=1400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9423289895057678
Training with: n_estimators=1600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.9424319863319397
Training with: n_estimators=1800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942416787147522
Training with: n_estimators=2000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=5, bootstrap=True
R^2 Score: 0.942305862903595
Training with: n_estimators=200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9424594640731812
Training with: n_estimators=400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420421123504639
Training with: n_estimators=600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942036509513855
Training with: n_estimators=800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420612454414368
Training with: n_estimators=1000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420391917228699
Training with: n_estimators=1200, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420535564422607
Training with: n_estimators=1400, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420365691184998
Training with: n_estimators=1600, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.942111611366272
Training with: n_estimators=1800, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9420913457870483
Training with: n_estimators=2000, max_depth=100, max_features=0.40824829046386296, min_samples_leaf=4, min_samples_split=10, bootstrap=True
R^2 Score: 0.9419872760772705
Training with: n_estimators=200, max_depth=None, max_features=1.0, min_samples_leaf=1, min_samples_split=2, bootstrap=True