              precision    recall  f1-score   support

           0       1.00      0.15      0.26        33
           1       0.19      0.27      0.22       732
           2       0.00      0.00      0.00       614
           3       0.00      0.00      0.00         0
           4       0.24      0.04      0.07       417
           5       1.00      0.53      0.70       680
           6       0.00      0.00      0.00         0
           7       0.99      1.00      1.00       190
           8       0.00      0.00      0.00         0
           9       0.05      0.02      0.02       831
          10       0.40      0.69      0.51      1346
          11       0.48      0.15      0.22       337
          12       0.00      0.00      0.00         0
          13       0.64      0.82      0.72       914
          14       0.27      0.21      0.24       297
          15       0.20      0.32      0.24        19

    accuracy                           0.40      6410
   macro avg       0.34      0.26      0.26      6410
weighted avg       0.40      0.40      0.37      6410


Confusion Matrix:
[[  5  28   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0 200   0   0   0   0   0   0   0  52 472   2   0   4   2   0]
 [  0  10   0  53   0   0   0   0   0  22 443  27  18   0  41   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0  16   0   0  16   0  19   0   0   4   2   0   4 354   2   0]
 [  0   0   0   0  41 363   0   0 130  29  51   0   0  66   0   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0   0   0   0   0   0   0 190   0   0   0   0   0   0   0   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0 459   0   0   0   0   0   0   0  13 356   0   0   0   3   0]
 [  0 340   0   0  11   0   0   0   0  62 933   0   0   0   0   0]
 [  0  23 110  37   0   0   0   0   0   4  64  49   0   0  26  24]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0   4   0   0   0   0   0   1   0   0  12   9  47 754  87   0]
 [  0   0   0   1   0   0   0   0   0  66   7   3 159   0  61   0]
 [  0   0   0   0   0   0   0   0   0   0   0  13   0   0   0   6]]

Test Accuracy: 40.41%