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from sklearn.ensemble import StackingClassifier

base_models = [('gb', GradientBoostingClassifier()), ('rf', RandomForestClassifier())]
stacking_model = StackingClassifier(estimators=base_models, final_estimator=LogisticRegression())
stacking_model.fit(X_train, y_train)

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from sklearn.ensemble import StackingClassifier

base_models = [('gb', GradientBoostingClassifier()), ('rf', RandomForestClassifier())]
stacking_model = StackingClassifier(estimators=base_models, final_estimator=LogisticRegression())
stacking_model.fit(X_train, y_train)

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🆔 Telegram | LinkedIn | YouTube

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