问使用KNN对库存(实物库存项目)进行分类--这是最好的方法吗？

EN

from sklearn.neighbors import KNeighborsClassifier

knn = KNeighborsClassifier(algorithm='auto', 
                           metric='minkowski', # pick a distance metric
                           metric_params=None,
                           n_neighbors=5, # take the majority label from the 5-nearest neighbors
                           p=2, # a hyperparameter required for 'minkowski' distance metric
                           weights='uniform')

knn.fit(train_data, train_labels) 

# Find the predicted class of the test data:
knn.predict(testset_data)