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  1. from sklearn.model_selection import cross_val_score
  2. rfc = RandomForestClassifier(n_estimators = 20)
  3. cross_val_score( rfc, train, y, scoring='roc_auc', cv=10)
  4. predict_probarfc = rfc.predict_proba(test)
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