              precision    recall  f1-score   support

           0       0.53      0.79      0.63        33
           1       0.39      0.75      0.52       971
           2       0.78      0.34      0.47       614
           3       0.00      0.00      0.00         0
           4       0.00      0.00      0.00       465
           5       1.00      0.39      0.56       680
           6       0.00      0.00      0.00         0
           7       0.67      1.00      0.80       190
           8       0.00      0.00      0.00         0
           9       0.29      0.67      0.41       534
          10       0.58      0.26      0.36      2044
          11       0.00      0.00      0.00       446
          12       0.00      0.00      0.00         0
          13       0.70      0.88      0.78       914
          14       0.00      0.00      0.00       297
          15       0.54      1.00      0.70        74

    accuracy                           0.44      7262
   macro avg       0.34      0.38      0.33      7262
weighted avg       0.51      0.44      0.42      7262


Confusion Matrix:
[[ 26   3   0   0   1   0   0   1   0   2   0   0   0   0   0   0]
 [  0 726   0   4   3   0   0   0   0 169  15  15   0   0   0  39]
 [  0  39 206  79   1   0   0   0   1  33 254   0   1   0   0   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [ 21   0  13   0   0   0  45  53   3   0   2   0  14 304  10   0]
 [  0  24   0   0   0 264   2   1 322   0   0   0  10  36  21   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]
 [  1  82   0   0   0   0   0   0   0 358  92   0   1   0   0   0]
 [  1 944  16  45   0   0   3  33   1 462 536   0   3   0   0   0]
 [  0  22  27 145   0   0   0   0   5 204  18   0   0   0   0  25]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0   0   2   0   0   0   0   5  43   3   0   0  57 802   2   0]
 [  0   0   0   0   0   0   1   0 101   0  13   0 182   0   0   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0  74]]

Test Accuracy: 43.82%