diff --git a/data/Fig2&3-objectives/meanBest.pickle b/data/Fig2&3-objectives/meanBest.pickle
index d26812d..d42bea8 100644
Binary files a/data/Fig2&3-objectives/meanBest.pickle and b/data/Fig2&3-objectives/meanBest.pickle differ
diff --git a/data/Fig2&3-objectives/meanGreedy.pickle b/data/Fig2&3-objectives/meanGreedy.pickle
index 50c023f..724101c 100644
Binary files a/data/Fig2&3-objectives/meanGreedy.pickle and b/data/Fig2&3-objectives/meanGreedy.pickle differ
diff --git a/data/solverData.csv b/data/solverData.csv
index f2cfe7d..8e3a2dc 100644
--- a/data/solverData.csv
+++ b/data/solverData.csv
@@ -70,3 +70,9 @@ Uni-criterion: discreteCoverage,greedySwap,1000,10,10,0.10966670885682106,-53.0
 Uni-criterion: clusterCenters,worstOfRandom,1000,2,10,0.029493208974599838,11.847265520187392
 Uni-criterion: clusterCenters,bestOfRandom,1000,2,10,0.02857504179701209,2.789513312747127
 Uni-criterion: clusterCenters,greedySwap,1000,2,10,0.13878262508660555,0.7724079671652213
+"Uni-criterion: preserveMetric, mean",worstOfRandom,1000,10,10,0.02800250006839633,9.50451408816041
+"Uni-criterion: preserveMetric, mean",bestOfRandom,1000,10,10,0.02774458285421133,1.4512032863232234
+"Uni-criterion: preserveMetric, mean",greedySwap,1000,10,10,0.13165183318778872,0.5215736802170967
+"Uni-criterion: preserveMetric, mean",worstOfRandom,1000,10,10,0.031927124597132206,9.503260009237106
+"Uni-criterion: preserveMetric, mean",bestOfRandom,1000,10,10,0.027917416766285896,1.460277122561562
+"Uni-criterion: preserveMetric, mean",greedySwap,1000,10,10,0.132963459007442,0.5640211475433015
diff --git a/jupyter/Fig2&3-objectives.ipynb b/jupyter/Fig2&3-objectives.ipynb
index 69a7098..8dd31ce 100644
--- a/jupyter/Fig2&3-objectives.ipynb
+++ b/jupyter/Fig2&3-objectives.ipynb
@@ -28,9 +28,7 @@
     "import numpy as np\n",
     "import seaborn as sns \n",
     "\n",
-    "from sklearn.cluster import KMeans\n",
-    "\n",
-    "# Local\n",
+    "# Local files\n",
     "import flexibleSubsetSelection as fss\n",
     "\n",
     "# Initialize notebook settings\n",
@@ -58,11 +56,11 @@
    "source": [
     "directory = \"Fig2&3-objectives\"         # data directory for this notebook\n",
     "seed = 123456789                        # random seed for replicability\n",
-    "fss.logger.setup(level=logging.WARNING) # set logging level for the package\n",
+    "fss.logger.setup(level=logging.DEBUG) # set logging level for the package\n",
     "subsetSize = 10                         # size of subset selected\n",
     "\n",
     "firstDataset = fss.Dataset(randTypes=\"multimodal\", size=(1000, 10), seed=seed)\n",
-    "firstDataset.save(f\"{directory}/firstSetFull\")"
+    "firstDataset.save(name=\"firstSetFull\", directory=Path(\"..\")/\"data\"/directory)"
    ]
   },
   {
@@ -488,7 +486,7 @@
     "subsetSize = 10 # size of subset selected\n",
     "\n",
     "secondDataset = fss.Dataset(randTypes=\"blobs\", size=(1000, 2), seed=seed)\n",
-    "secondDataset.save(f\"{directory}/secondSetFull\")"
+    "secondDataset.save(name=\"secondSetFull\", directory=Path(\"..\")/\"data\"/directory)"
    ]
   },
   {