
============================================================
 IRIS
============================================================

--- Decision Tree ---
Accuracy: 1.000
Adj. Rand: 1.000
              precision    recall  f1-score   support

      setosa       1.00      1.00      1.00        19
  versicolor       1.00      1.00      1.00        13
   virginica       1.00      1.00      1.00        13

    accuracy                           1.00        45
   macro avg       1.00      1.00      1.00        45
weighted avg       1.00      1.00      1.00        45


--- Naive Bayes ---
Accuracy: 0.978
Adj. Rand: 0.943
              precision    recall  f1-score   support

      setosa       1.00      1.00      1.00        19
  versicolor       1.00      0.92      0.96        13
   virginica       0.93      1.00      0.96        13

    accuracy                           0.98        45
   macro avg       0.98      0.97      0.97        45
weighted avg       0.98      0.98      0.98        45


--- K-Means (mapped) ---
Accuracy: 0.893
Adj. Rand: 0.730
              precision    recall  f1-score   support

      setosa       1.00      1.00      1.00        50
  versicolor       0.77      0.96      0.86        50
   virginica       0.95      0.72      0.82        50

    accuracy                           0.89       150
   macro avg       0.91      0.89      0.89       150
weighted avg       0.91      0.89      0.89       150


============================================================
 DIGITS
============================================================

--- Decision Tree ---
Accuracy: 0.843
Adj. Rand: 0.685
              precision    recall  f1-score   support

           0       0.92      0.91      0.91        53
           1       0.74      0.78      0.76        50
           2       0.83      0.74      0.79        47
           3       0.78      0.85      0.81        54
           4       0.81      0.85      0.83        60
           5       0.92      0.86      0.89        66
           6       0.93      0.94      0.93        53
           7       0.85      0.84      0.84        55
           8       0.89      0.77      0.82        43
           9       0.78      0.85      0.81        59

    accuracy                           0.84       540
   macro avg       0.85      0.84      0.84       540
weighted avg       0.85      0.84      0.84       540


--- Naive Bayes ---
Accuracy: 0.852
Adj. Rand: 0.710
              precision    recall  f1-score   support

           0       1.00      0.98      0.99        53
           1       0.86      0.74      0.80        50
           2       0.86      0.66      0.75        47
           3       0.95      0.76      0.85        54
           4       0.98      0.85      0.91        60
           5       0.94      0.94      0.94        66
           6       0.89      0.96      0.93        53
           7       0.72      0.98      0.83        55
           8       0.57      0.91      0.70        43
           9       0.89      0.71      0.79        59

    accuracy                           0.85       540
   macro avg       0.87      0.85      0.85       540
weighted avg       0.88      0.85      0.85       540


--- K-Means (mapped) ---
Accuracy: 0.794
Adj. Rand: 0.667
              precision    recall  f1-score   support

           0       0.99      0.99      0.99       178
           1       0.62      0.30      0.41       182
           2       0.84      0.84      0.84       177
           3       0.86      0.85      0.85       183
           4       0.99      0.92      0.95       181
           5       0.87      0.75      0.81       182
           6       0.97      0.98      0.98       181
           7       0.86      0.95      0.90       179
           8       0.45      0.59      0.51       174
           9       0.58      0.77      0.66       180

    accuracy                           0.79      1797
   macro avg       0.80      0.79      0.79      1797
weighted avg       0.80      0.79      0.79      1797

