GridSearchCV-Model Parametrs

Erol Masimov answered on October 21, 2022 Popularity 8/10 Helpfulness 6/10

answer GridSearchCV-Model Parametrs

GridSearchCV-Model Parametrs

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from sklearn.model_selection import GridSearchCV
rf=RandomForestClassifier(random_state=100)

params={
    'n_estimators':[350,500,1000],
    'criterion' : ["gini", "entropy"]
}
gs=GridSearchCV(estimator=rf,
               param_grid=params,
               scoring=['accuracy','precision'],
                verbose=9,
                refit='precision',
                cv=5
               )
gs.fit(X_train,y_train)
gs.best_params_

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Contributed on Oct 21 2022

Erol Masimov

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GridSearchCV-Model Parametrs

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