              precision    recall  f1-score   support

           0       0.62      0.15      0.24        33
           1       0.61      0.14      0.23      1262
           2       0.17      0.32      0.22       486
           3       0.00      0.00      0.00         0
           4       0.67      0.07      0.13       417
           5       0.69      0.16      0.27       680
           6       0.00      0.00      0.00         0
           7       1.00      1.00      1.00       190
           8       0.00      0.00      0.00         0
           9       0.06      0.37      0.11       231
          10       0.41      0.34      0.37      1319
          11       0.11      0.03      0.05       403
          12       0.00      0.00      0.00         0
          13       0.56      0.93      0.70       945
          14       0.00      0.00      0.00       297
          15       0.42      0.64      0.50        74

    accuracy                           0.34      6337
   macro avg       0.33      0.26      0.24      6337
weighted avg       0.47      0.34      0.33      6337


Confusion Matrix:
[[  5   0   0   0   0   0   0   0   0  28   0   0   0   0   0   0]
 [  0 177 154  16   0   0   0   0   0 561 348   0   0   0   0   6]
 [  0  23 155  44   0   0   0   0   0 115 145   0   0   4   0   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0   0  10  32  31  36  31   0  22  23  11   8  14 153  22  24]
 [  0  11   0   0  10 112   0   0  24  42  18   0  24 355  84   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]
 [  0  23   0   0   0   0   0   0   0  85  57  32   0   0   8  26]
 [  3  56 319  32   0   0   0   0   4 399 452  38   0  14   0   2]
 [  0   0 277  31   0   0   0   0   7  49   0  12   0  14   5   8]
 [  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  66   0   0   0 877   2   0]
 [  0   0   0   0   5  14   0   0   0   0  67   0  73 138   0   0]
 [  0   0   0   0   0   0   0   0   0   0   0  15   0   0  12  47]]

Test Accuracy: 33.82%