results_boosting.txt

Ada Boost: Parameters:n_estimators: [50,70,100]
bus 1
{"n_estimators": 100}
0.702515684872
Average Precision Score:0.757035819329
Accuracy:0.0
chair 2
{"n_estimators": 70}
0.576930753413
Average Precision Score:0.556091382721
Accuracy:0.0
cat 3
{"n_estimators": 70}
0.805169187781
Average Precision Score:0.794656909287
Accuracy:0.0
cow 4
{"n_estimators": 100}
0.547758394818
Average Precision Score:0.525382128334
Accuracy:0.0
bird 5
{"n_estimators": 100}
0.866338034742
Average Precision Score:0.824317441037
Accuracy:0.0
bicycle 6
{"n_estimators": 100}
0.736774575117
Average Precision Score:0.746438090602
Accuracy:0.0
pottedplant 7
{"n_estimators": 70}
0.374984581785
Average Precision Score:0.439986223958
Accuracy:0.0
sofa 8
{"n_estimators": 100}
0.5441626477
Average Precision Score:0.499310726974
Accuracy:0.0
horse 9
{"n_estimators": 100}
0.7823561601
Average Precision Score:0.806745876635
Accuracy:0.0
train 10
{"n_estimators": 70}
0.879291077149
Average Precision Score:0.892678373796
Accuracy:0.0
sheep 11
{"n_estimators": 50}
0.540889653045
Average Precision Score:0.59429005884
Accuracy:0.0
aeroplane 12
{"n_estimators": 100}
0.91711315721
Average Precision Score:0.919125272887
Accuracy:0.0
car 13
{"n_estimators": 100}
0.831206508822
Average Precision Score:0.835894310685
Accuracy:0.0
dog 14
{"n_estimators": 100}
0.67950909845
Average Precision Score:0.729573826252
Accuracy:0.0
person 15
{"n_estimators": 100}
0.890717494133
Average Precision Score:0.900029002851
Accuracy:0.0
tvmonitor 16
{"n_estimators": 100}
0.545127484667
Average Precision Score:0.543731018499
Accuracy:0.0
bottle 17
{"n_estimators": 70}
0.350808510034
Average Precision Score:0.323997406437
Accuracy:0.0
diningtable 18
{"n_estimators": 70}
0.489515629324
Average Precision Score:0.570682457786
Accuracy:0.0
boat 19
{"n_estimators": 100}
0.761544787828
Average Precision Score:0.80259675003
Accuracy:0.0
motorbike 20
{"n_estimators": 70}
0.718928924548
Average Precision Score:0.73846326523
Accuracy:0.0
0.677082117277

Random Forest: Parameters:n_estimators: [50,100], 'max_depth': [5,7,9]
bus 1
{"max_depth": 5, "n_estimators": 100}
0.719701917673
Average Precision Score:0.763908035012
Accuracy:0.0
chair 2
{"max_depth": 7, "n_estimators": 100}
0.659499764955
Average Precision Score:0.629643007333
Accuracy:0.0
cat 3
{"max_depth": 5, "n_estimators": 100}
0.840033933444
Average Precision Score:0.838036043517
Accuracy:0.0
cow 4
{"max_depth": 7, "n_estimators": 100}
0.549090626452
Average Precision Score:0.545244168667
Accuracy:0.0
bird 5
{"max_depth": 9, "n_estimators": 100}
0.869767389855
Average Precision Score:0.850581527309
Accuracy:0.0
bicycle 6
{"max_depth": 9, "n_estimators": 100}
0.711240288083
Average Precision Score:0.777366081801
Accuracy:0.0
pottedplant 7
{"max_depth": 5, "n_estimators": 100}
0.444685364091
Average Precision Score:0.472197163516
Accuracy:0.0
sofa 8
{"max_depth": 7, "n_estimators": 100}
0.586473187955
Average Precision Score:0.581303532796
Accuracy:0.0
horse 9
{"max_depth": 7, "n_estimators": 100}
0.782497025355
Average Precision Score:0.838302564348
Accuracy:0.0
train 10
{"max_depth": 9, "n_estimators": 100}
0.900262880667
Average Precision Score:0.904328484862
Accuracy:0.0
sheep 11
{"max_depth": 7, "n_estimators": 100}
0.534236823749
Average Precision Score:0.679490211618
Accuracy:0.0
aeroplane 12
{"max_depth": 9, "n_estimators": 100}
0.915379433059
Average Precision Score:0.902721788951
Accuracy:0.0
car 13
{"max_depth": 7, "n_estimators": 100}
0.8621073904
Average Precision Score:0.865379754738
Accuracy:0.0
dog 14
{"max_depth": 9, "n_estimators": 100}
0.751574893236
Average Precision Score:0.808775707907
Accuracy:0.0
person 15
{"max_depth": 9, "n_estimators": 100}
0.913026302821
Average Precision Score:0.916525317607
Accuracy:0.0
tvmonitor 16
{"max_depth": 5, "n_estimators": 100}
0.627675402066
Average Precision Score:0.638498525609
Accuracy:0.0
bottle 17
{"max_depth": 7, "n_estimators": 100}
0.461767766125
Average Precision Score:0.430648001958
Accuracy:0.0
diningtable 18
{"max_depth": 5, "n_estimators": 100}
0.634475367396
Average Precision Score:0.663846967029
Accuracy:0.0
boat 19
{"max_depth": 5, "n_estimators": 100}
0.802753921752
Average Precision Score:0.812978772478
Accuracy:0.0
motorbike 20
{"max_depth": 9, "n_estimators": 100}
0.737565277558
Average Precision Score:0.727078896999
Accuracy:0.0
0.715190747835

Ada Boost: Parameters:n_estimators: [150,200]
pottedplant 1
{"n_estimators": 200}
0.377981550579
Average Precision Score:0.434987820592
Accuracy:0.0
car 2
{"n_estimators": 200}
0.839940895563
Average Precision Score:0.845062637284
Accuracy:0.0
train 3
{"n_estimators": 200}
0.894688949277
Average Precision Score:0.906721657881
Accuracy:0.0
cow 4
{"n_estimators": 200}
0.555856335882
Average Precision Score:0.559971772073
Accuracy:0.0
dog 5
{"n_estimators": 150}
0.706469737031
Average Precision Score:0.732153256567
Accuracy:0.0
bicycle 6
{"n_estimators": 200}
0.74156717903
Average Precision Score:0.753479258587
Accuracy:0.0
sheep 7
{"n_estimators": 200}
0.571335625915
Average Precision Score:0.681051294994
Accuracy:0.0
diningtable 8
{"n_estimators": 150}
0.49513790122
Average Precision Score:0.60341054125
Accuracy:0.0
aeroplane 9
{"n_estimators": 200}
0.930637143824
Average Precision Score:0.924026685957
Accuracy:0.0
bottle 10
{"n_estimators": 200}
0.362290374404
Average Precision Score:0.378420717828
Accuracy:0.0
motorbike 11
{"n_estimators": 200}
0.719755813618
Average Precision Score:0.763979603299
Accuracy:0.0
bird 12
{"n_estimators": 200}
0.867054782506
Average Precision Score:0.829601432126
Accuracy:0.0
tvmonitor 13
{"n_estimators": 200}
0.561591784726
Average Precision Score:0.578788911995
Accuracy:0.0
boat 14
{"n_estimators": 200}
0.779495593494
Average Precision Score:0.81274782562
Accuracy:0.0
bus 15
{"n_estimators": 200}
0.7188135374
Average Precision Score:0.783951790896
Accuracy:0.0
chair 16
{"n_estimators": 200}
0.591687385273
Average Precision Score:0.571456268602
Accuracy:0.0
sofa 17
{"n_estimators": 200}
0.551376998495
Average Precision Score:0.514393986591
Accuracy:0.0
cat 18
{"n_estimators": 150}
0.818786470572
Average Precision Score:0.801578378962
Accuracy:0.0
horse 19
{"n_estimators": 200}
0.793607016162
Average Precision Score:0.821656812163
Accuracy:0.0
person 20
{"n_estimators": 200}
0.894774630399
Average Precision Score:0.902800050506
Accuracy:0.0
0.688642485268
Avg Precision Test:0.710012035189

Random Forest: Parameters:n_estimators: [150,200], 'max_depth': [5,7,9]
pottedplant 1
{"max_depth": 5, "n_estimators": 200}
0.452383829424
Average Precision Score:0.484107643066
Accuracy:0.0
car 2
{"max_depth": 7, "n_estimators": 200}
0.867483037107
Average Precision Score:0.868171228849
Accuracy:0.0
train 3
{"max_depth": 7, "n_estimators": 200}
0.901467642291
Average Precision Score:0.909390673889
Accuracy:0.0
cow 4
{"max_depth": 7, "n_estimators": 200}
0.558152829606
Average Precision Score:0.552307506395
Accuracy:0.0
dog 5
{"max_depth": 9, "n_estimators": 200}
0.758932676813
Average Precision Score:0.81750856496
Accuracy:0.0
bicycle 6
{"max_depth": 5, "n_estimators": 200}
0.716347172088
Average Precision Score:0.767211133688
Accuracy:0.0
sheep 7
{"max_depth": 7, "n_estimators": 200}
0.55317660857
Average Precision Score:0.704501745015
Accuracy:0.0
diningtable 8
{"max_depth": 5, "n_estimators": 200}
0.644200115481
Average Precision Score:0.671390671229
Accuracy:0.0
aeroplane 9
{"max_depth": 9, "n_estimators": 200}
0.917883898212
Average Precision Score:0.907598236944
Accuracy:0.0
bottle 10
{"max_depth": 5, "n_estimators": 200}
0.475240332564
Average Precision Score:0.440300155086
Accuracy:0.0
motorbike 11
{"max_depth": 9, "n_estimators": 200}
0.742509660904
Average Precision Score:0.734731466977
Accuracy:0.0
bird 12
{"max_depth": 7, "n_estimators": 200}
0.873084870357
Average Precision Score:0.850244671963
Accuracy:0.0
tvmonitor 13
{"max_depth": 7, "n_estimators": 200}
0.636249408852
Average Precision Score:0.656428627511
Accuracy:0.0
boat 14
{"max_depth": 9, "n_estimators": 200}
0.808764506391
Average Precision Score:0.830629017659
Accuracy:0.0
bus 15
{"max_depth": 5, "n_estimators": 200}
0.729965013505
Average Precision Score:0.770154992577
Accuracy:0.0
chair 16
{"max_depth": 5, "n_estimators": 200}
0.660614712509
Average Precision Score:0.638375160789
Accuracy:0.0
sofa 17
{"max_depth": 7, "n_estimators": 200}
0.597370088341
Average Precision Score:0.589862576764
Accuracy:0.0
cat 18
{"max_depth": 5, "n_estimators": 200}
0.845836885596
Average Precision Score:0.841296056879
Accuracy:0.0
horse 19
{"max_depth": 7, "n_estimators": 200}
0.788198500922
Average Precision Score:0.84236935993
Accuracy:0.0
person 20
{"max_depth": 9, "n_estimators": 200}
0.915456968854
Average Precision Score:0.916073502589
Accuracy:0.0
0.722165937919
Avg Precision Test:0.739632649638