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')
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
[[18 0 0] [ 1 20 0] [ 0 0 15]]