              precision    recall  f1-score   support

           0       1.00      0.70      0.82        33
           1       0.43      0.72      0.54       603
           2       0.00      0.00      0.00       486
           3       0.00      0.00      0.00         0
           4       0.01      0.01      0.01       165
           5       0.76      0.86      0.81       358
           6       0.00      0.00      0.00         0
           7       0.94      1.00      0.97       288
           8       0.00      0.00      0.00         0
           9       0.56      0.60      0.58       534
          10       0.66      0.63      0.65      1403
          11       0.00      0.00      0.00       446
          12       0.00      0.00      0.00         0
          13       0.99      0.60      0.74       712
          14       0.33      0.14      0.20       297
          15       0.46      1.00      0.63        74

    accuracy                           0.52      5399
   macro avg       0.38      0.39      0.37      5399
weighted avg       0.54      0.52      0.51      5399


Confusion Matrix:
[[ 23   0   0   0   0   0   0   0   0   6   0   4   0   0   0   0]
 [  0 436   5  17   0   0   0   0   2  12  94  37   0   0   0   0]
 [  0  47   0   0   3   1   0   0   4   0 222 184   0   0   0  25]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0   0  18   0   2  64  40   0   1   0  19   0  15   6   0   0]
 [  0   1   0  15   0 309   0   0   3   0   3   6   0   0  21   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0   0   0   0   0   0   0 288   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  63  41   0   0   0   0   0   0 322 106   2   0   0   0   0]
 [  0 221 129   1   0   5   0  16   0 106 880  24   7   0   0  14]
 [  0 240  32   0   3   0   0   0   0 114   0   0   0   0   9  48]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0]
 [  0  13  23   7 159   8   0   2   0  17   0   2   0 424  57   0]
 [  0   0   1 140  33  21   0   0   0   0   0   0  60   0  42   0]
 [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0  74]]

Test Accuracy: 51.86%