Samples: 20000
Samples (Training Set): 10000
Samples (Test Set): 10000

Evaluation:
 - Synthetic Cognition
   Accuracy on training set = 0.96
   Accuracy on test set = 0.93
   Area under the curve on distorsion set = 86.92
   Area under the curve on distorsion set = 79.70
 - Synthetic Cognition Cell
   Accuracy on training set = 0.71
   Accuracy on test set = 0.70
   Area under the curve on distorsion set = 59.30
   Area under the curve on distorsion set = 58.92
 - 11-NN
   Accuracy on training set = 0.95
   Accuracy on test set = 0.94
   Area under the curve on training distorsion set = 55.36
   Area under the curve on test distorsion set = 54.20
 - 1-NN
   Accuracy on training set = 1.00
   Accuracy on test set = 0.95
   Area under the curve on training distorsion set = 63.17
   Area under the curve on test distorsion set = 56.75
 - 10Means
   Accuracy on training set = 0.57
   Accuracy on test set = 0.57
   Area under the curve on training distorsion set = 31.97
   Area under the curve on test distorsion set = 31.69
 - 20Means
   Accuracy on training set = 0.85
   Accuracy on test set = 0.86
   Area under the curve on training distorsion set = 47.70
   Area under the curve on test distorsion set = 47.56
 - IIC-1
   Area under the curve on training distorsion set = 21.73
   Area under the curve on test distorsion set = 21.73
 - IIC-2
   Area under the curve on training distorsion set = 47.07
   Area under the curve on test distorsion set = 47.07
 - IIC-10
   Area under the curve on training distorsion set = 62.41
   Area under the curve on test distorsion set = 62.41
 - IIC-100
   Area under the curve on training distorsion set = 72.28
   Area under the curve on test distorsion set = 72.28
