              precision    recall  f1-score   support

           0       0.52      0.92      0.67        13
           1       0.36      0.46      0.40      1288
           2       0.00      0.00      0.00       560
           3       0.00      0.00      0.00         0
           4       0.34      0.03      0.05       417
           5       0.54      0.16      0.25       680
           6       0.00      0.00      0.00         0
           7       0.78      1.00      0.87       190
           8       0.00      0.00      0.00         0
           9       0.33      0.78      0.47       489
          10       0.64      0.35      0.45      2359
          11       0.37      0.53      0.43       337
          12       0.00      0.00      0.00         0
          13       0.71      0.89      0.79      1224
          14       0.00      0.00      0.00        89
          15       0.50      0.89      0.64        19

    accuracy                           0.44      7665
   macro avg       0.32      0.38      0.31      7665
weighted avg       0.50      0.44      0.43      7665


Confusion Matrix:
[[  12    0    0    0    1    0    0    0    0    0    0    0    0    0
     0    0]
 [   0  590   62   16    0    7    0    0    0  242  329   34    0    0
     5    3]
 [   0    0    0   81    0    0    0    0   19   54    2  253    0    0
   151    0]
 [   0    0    0    0    0    0    0    0    0    0    0    0    0    0
     0    0]
 [   1    3    1    0   12    0   49    0   20   14    4    3    5  226
    79    0]
 [   0   21    0    0   22  109  171    0    9    0  128    0    0  220
     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  190    0    0    0    0    0    0
     0    0]
 [   0    0    0    0    0    0    0    0    0    0    0    0    0    0
     0    0]
 [  10   94    0    0    0    0    0    0    0  381    4    0    0    0
     0    0]
 [   0  912  128   10    0    0    0   44    1  402  830    7    0    0
    13   12]
 [   0   26    0   77    0    0    0    0    6   43    0  177    0    0
     6    2]
 [   0    0    0    0    0    0    0    0    0    0    0    0    0    0
     0    0]
 [   0    3    0    0    0    0    8   11    0    4    0    8    0 1089
   101    0]
 [   0    3    0    0    0   86    0    0    0    0    0    0    0    0
     0    0]
 [   0    0    0    0    0    0    0    0    0    0    0    2    0    0
     0   17]]

Test Accuracy: 44.45%