              precision    recall  f1-score   support

           0       0.57      0.92      0.71        13
           1       0.38      0.66      0.48       965
           2       0.38      0.17      0.23       614
           3       0.00      0.00      0.00         0
           4       0.00      0.00      0.00       465
           5       0.87      0.96      0.91       642
           6       0.00      0.00      0.00         0
           7       0.99      0.95      0.97       190
           8       0.00      0.00      0.00         0
           9       0.45      0.83      0.59       558
          10       0.68      0.36      0.47      2314
          11       0.14      0.19      0.16       403
          12       0.00      0.00      0.00         0
          13       0.67      1.00      0.80       945
          14       0.64      0.33      0.44       297
          15       0.73      1.00      0.84        19

    accuracy                           0.54      7425
   macro avg       0.41      0.46      0.41      7425
weighted avg       0.55      0.54      0.51      7425


Confusion Matrix:
[[ 12   0   0   0   0   0   1   0   0   0   0   0   0   0   0   0]
 [  0 635   0   0   3   0   0   0   0 147  21 152   0   7   0   0]
 [  0 109 105  45   0   0   0   0   0  70 246  38   1   0   0   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0   0   0   0   0  79  16   0   0   0  17   0   4 307  42   0]
 [  0   0   0   0   0 614   0   0   3   0   0   0   0  25   0   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  9   0   0   0   0   0   1 180   0   0   0   0   0   0   0   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0   0   0   4   0   0   0   0   0 464  24  60   0   6   0   0]
 [  0 859   0  37   7   5   0   1   0 319 835 235   0   3  13   0]
 [  0  64 175  22  11   0   0   0   1  22  22  78   0   0   1   7]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0 945   0   0]
 [  0   0   0   0   0   9   0   0   0   0  63   0   0 126  99   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0  19]]

Test Accuracy: 53.68%