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bagging_model = BaggingClassifier(base_estimator=base_model, n_estimators=100, oob_score=True)
bagging_model.fit(X_train, y_train)
print(bagging_model.oob_score_) # OOB score

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bagging_model = BaggingClassifier(base_estimator=base_model, n_estimators=100, oob_score=True)
bagging_model.fit(X_train, y_train)
print(bagging_model.oob_score_) # OOB score

πŸ€–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
πŸ†” Telegram | LinkedIn | YouTube

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