Test results

Binary classification accuracy (threshold at label 3) ≈ 73.82%

Labels: [0, 1, 2, 3, 4, 5] Confusion Matrix:

 [[64 29  1  6  0  0]
 [26 47  6 20  1  0]
 [10 49  5 36  0  0]
 [ 7 31  9 48  5  0]
 [ 1 18  8 56 17  0]
 [ 1  2  4 26 17  0]]

Classification Report:

              precision    recall  f1-score   support

           0       0.59      0.64      0.61       100
           1       0.27      0.47      0.34       100
           2       0.15      0.05      0.08       100
           3       0.25      0.48      0.33       100
           4       0.42      0.17      0.24       100
           5       0.00      0.00      0.00        50

    accuracy                           0.33       550
   macro avg       0.28      0.30      0.27       550
weighted avg       0.31      0.33      0.29       550
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