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from sklearn import datasetsfrom sklearn.tree import DecisionTreeClassifierfrom sklearn.model_selection import LeavePOut, cross_val_scoreX, y = datasets.load_iris(return_X_y=True)clf = DecisionTreeClassifier(random_state=42)lpo = LeavePOut(p=2)scores = cross_val_score(clf, X, y, cv = lpo)print("Cross Validation Scores: ", scores)print("Average CV Score: ", scores.mean())print("Number of CV Scores used in Average: ", len(scores)) Cross Validation Scores: [1. 1. 1. ... 1. 1. 1.] Average CV Score: 0.9382997762863534 Number of CV Scores used in Average: 11175