              precision    recall  f1-score   support

           0       1.00      0.88      0.94        33
           1       0.49      0.52      0.50       836
           2       0.00      0.00      0.00       614
           3       0.00      0.00      0.00         0
           4       0.47      0.06      0.10       417
           5       0.93      0.95      0.94       642
           6       0.00      0.00      0.00         0
           7       0.86      1.00      0.92       190
           8       0.00      0.00      0.00         0
           9       0.57      0.69      0.62       504
          10       0.75      0.59      0.66      1673
          11       0.06      0.10      0.08       403
          12       0.00      0.00      0.00         0
          13       0.66      1.00      0.80       945
          14       0.00      0.00      0.00       297
          15       0.58      1.00      0.73        19

    accuracy                           0.55      6573
   macro avg       0.40      0.42      0.39      6573
weighted avg       0.55      0.55      0.53      6573


Confusion Matrix:
[[ 29   1   0   0   0   0   0   0   0   3   0   0   0   0   0   0]
 [  0 431   0 241   0   0   0   0   0  78  80   0   0   6   0   0]
 [  0 147   0  66   0   0   0   0   0  27 244 123   1   0   6   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0   0   7   0  23   0  51   0   0  18   1  10   0 299   8   0]
 [  0   0   0  16   6 608   0   0   8   0   0   0   0   0   4   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  73   0   6   0   4   3   0   0 346   3  56   0   7   6   0]
 [  0 128   0  37  20   3   6  32   0 136 992 307   1   4   0   7]
 [  0 108  97 143   0   0   0   0   0   4   0  41   0   3   0   7]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0   0   0   0   0   1   0   0   0   0   0   0   0 944   0   0]
 [  0   0   0   0   0  35   0   0   0   0   0  96   0 166   0   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0  19]]

Test Accuracy: 55.12%