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from sklearn import datasetsfrom sklearn.tree import DecisionTreeClassifierfrom sklearn.model_selection import StratifiedKFold, cross_val_scoreX, y = datasets.load_iris(return_X_y=True)clf = DecisionTreeClassifier(random_state=42)sk_folds = StratifiedKFold(n_splits = 5)scores = cross_val_score(clf, X, y, cv = sk_folds)print("Cross Validation Scores: ", scores)print("Average CV Score: ", scores.mean())print("Number of CV Scores used in Average: ", len(scores)) Cross Validation Scores: [0.96666667 0.96666667 0.9 0.93333333 1. ] Average CV Score: 0.9533333333333334 Number of CV Scores used in Average: 5