odhalyxz / classificationwine

The dataset used is the Wine Dataset available at UCI. This dataset has continuous features that are heterogeneous in scale due to differing properties that they measure

ClassificationWine

The dataset used is the Wine Dataset available at UCI. This dataset has continuous features that are heterogeneous in scale due to differing properties that they measure

Configuracion clasificador: KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='cityblock', metric_params=None, n_jobs=1, n_neighbors=7, p=2, weights='uniform')

Classification report in test

         precision    recall  f1-score   support

      0       0.95      1.00      0.97        18
      1       1.00      0.95      0.98        21
      2       1.00      1.00      1.00        15

avg / total 0.98 0.98 0.98 54 MCC= 0.9725108966955406

Confusion_matrix

[[18 0 0] [ 1 20 0] [ 0 0 15]]