              precision    recall  f1-score   support

           0       0.44      0.36      0.40        33
           1       0.26      0.34      0.29      1288
           2       0.12      0.26      0.17       486
           3       0.00      0.00      0.00         0
           4       0.00      0.00      0.00       165
           5       0.79      0.67      0.72       358
           6       0.00      0.00      0.00         0
           7       0.74      0.99      0.85       288
           8       0.00      0.00      0.00         0
           9       0.08      0.02      0.03       831
          10       0.67      0.19      0.29      2359
          11       0.14      0.49      0.22       337
          12       0.00      0.00      0.00         0
          13       1.00      0.61      0.76       914
          14       0.05      0.12      0.07        89
          15       0.53      0.89      0.67        19

    accuracy                           0.32      7167
   macro avg       0.30      0.31      0.28      7167
weighted avg       0.49      0.32      0.34      7167


Confusion Matrix:
[[  12    1    0   20    0    0    0    0    0    0    0    0    0    0
     0    0]
 [   0  441  274  140    0    0    0    7    0    2  125  296    0    0
     3    0]
 [   0   45  127   88    0    0    0    0    9   77   75    0   65    0
     0    0]
 [   0    0    0    0    0    0    0    0    0    0    0    0    0    0
     0    0]
 [   0    0   18    0    0   51   62    0    0    0   14    0   12    0
     8    0]
 [  14   13    0   24   32  239    0    0   25    0    5    0    6    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    0  284    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  185  240    0    0    0    0    0    0   13    0  392    0    0
     1    0]
 [   1 1022  188  185    0    2    0   82   14   77  438  260   71    0
     4   15]
 [   0    0  146   26    0    0    0    0    1    0    0  164    0    0
     0    0]
 [   0    0    0    0    0    0    0    0    0    0    0    0    0    0
     0    0]
 [   0   15   14    0   63   11    0    9    0    0    0   30   16  559
   197    0]
 [   0    0   40    2    0    0    0    0    0    0    0    0   36    0
    11    0]
 [   0    0    0    0    0    0    0    0    0    0    0    2    0    0
     0   17]]

Test Accuracy: 32.16%