=== logistic_regression ===
              precision    recall  f1-score   support

           0      0.931     0.818     0.871        33
           1      0.812     0.929     0.867        28

    accuracy                          0.869        61
   macro avg      0.872     0.873     0.869        61
weighted avg      0.877     0.869     0.869        61

Confusion matrix:
[[27  6]
 [ 2 26]]

=== decision_tree ===
              precision    recall  f1-score   support

           0      0.828     0.727     0.774        33
           1      0.719     0.821     0.767        28

    accuracy                          0.770        61
   macro avg      0.773     0.774     0.770        61
weighted avg      0.778     0.770     0.771        61

Confusion matrix:
[[24  9]
 [ 5 23]]