              precision    recall  f1-score   support

           0       1.00      0.85      0.92        33
           1       0.44      0.31      0.37       965
           2       0.25      0.19      0.22       614
           3       0.00      0.00      0.00         0
           4       0.13      0.05      0.07       461
           5       0.61      0.92      0.73       642
           6       0.00      0.00      0.00         0
           7       0.81      1.00      0.90       190
           8       0.00      0.00      0.00         0
           9       0.09      0.07      0.08       876
          10       0.69      0.64      0.66      1673
          11       0.13      0.23      0.17       337
          12       0.00      0.00      0.00         0
          13       0.63      0.36      0.46      1224
          14       0.73      0.60      0.66       297
          15       0.78      0.97      0.87        74

    accuracy                           0.43      7386
   macro avg       0.39      0.39      0.38      7386
weighted avg       0.48      0.43      0.44      7386


Confusion Matrix:
[[  28    4    0    0    0    0    0    1    0    0    0    0    0    0
     0    0]
 [   0  302  177    6    1    0    0    0    5  114  120  213    0    7
    12    8]
 [   0    0  119   62   77   15    4    0   13  137   77   37   51    6
    14    2]
 [   0    0    0    0    0    0    0    0    0    0    0    0    0    0
     0    0]
 [   0    0    5    0   22   47   33    0  145   18    0    0    1  190
     0    0]
 [   0    0    0    7    0  592    0    0   43    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    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  377   31    0   44    1    0    0   27   65  289    0    0   30
    12    0]
 [   0    3   51    2   13   36    4   30   11  248 1071  179    9    7
     0    9]
 [   0    0   98   44    0    0    0    0    5  110    0   79    0    0
     0    1]
 [   0    0    0    0    0    0    0    0    0    0    0    0    0    0
     0    0]
 [   0    0    0    0    0  279   88   13  343    0    0   31    0  442
    28    0]
 [   0    0    0    0    8    0    0    0   28    0    0   69    0   15
   177    0]
 [   0    0    0    0    0    0    0    0    0    0    0    2    0    0
     0   72]]

Test Accuracy: 42.77%