Scaling, Normalization, Min Max.
sklearn.model_selection import train_test_split from sklearn.metrics import accuracy_score from sklearn.preprocessing import StandardScaler X, y = make_classification(n_samples=1000, n_features=5, n_informative=5, n_redundant=0, random_state=1) steps = [('scaler', StandardScaler()),('knn',