              precision    recall  f1-score   support

           0       0.72      0.85      0.78        33
           1       0.13      0.49      0.21       603
           2       0.17      0.27      0.20       614
           3       0.00      0.00      0.00         0
           4       0.53      0.07      0.13       461
           5       0.88      0.76      0.82       510
           6       0.00      0.00      0.00         0
           7       0.97      1.00      0.98       288
           8       0.00      0.00      0.00         0
           9       0.21      0.04      0.07       837
          10       0.30      0.10      0.14      2032
          11       0.28      0.10      0.15       403
          12       0.00      0.00      0.00         0
          13       0.66      0.96      0.78      1224
          14       0.09      0.01      0.01       297
          15       0.74      0.68      0.70        74

    accuracy                           0.36      7376
   macro avg       0.36      0.33      0.31      7376
weighted avg       0.40      0.36      0.33      7376


Confusion Matrix:
[[  28    0    0    0    0    0    0    5    0    0    0    0    0    0
     0    0]
 [   0  295    0  213    1    2    0    0    0   25   64    0    0    3
     0    0]
 [   0  143  165   79    7    0    0    0    1   58  136   17    8    0
     0    0]
 [   0    0    0    0    0    0    0    0    0    0    0    0    0    0
     0    0]
 [  11    0    0    0   34    0   80    0    0    0    0   18    0  318
     0    0]
 [   0    0    0    0   15  387   31    0   30    0    0    0    0   47
     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  288    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  507    0    0    0    0    0    0    0   33  238   45    0    0
    14    0]
 [   0 1002  772    3    1    9    0    0    5   37  194    0    7    0
     2    0]
 [   0  271   60    0    0    0    0    0    5    0    4   41    0    0
     4   18]
 [   0    0    0    0    0    0    0    0    0    0    0    0    0    0
     0    0]
 [   0    0    1    0    6    0   26    4    0    2    7    0    7 1171
     0    0]
 [   0    0    0    0    0   41   17    0    0    0    1    0    0  236
     2    0]
 [   0    0    0    0    0    0    0    0    0    0    0   24    0    0
     0   50]]

Test Accuracy: 36.44%