Scaling, Normalization, Min Max.
pipeline.fit(X_train, y_train) y_pred = pipeline.predict(X_test) accuracy_score(y_test, y_pred) knn_unscaled = KNeighborsClassifier().fit(X_train, y_train) knn_unscaled.score(X_test, y_test) Section 8. CV and scaling in a pipeline Let’s also take a look at how we can use cross-validation with a