Breaking News: Grepper is joining You.com. Read the official announcement!

grid search python

Adventurous Addax answered on November 23, 2021 Popularity 9/10 Helpfulness 7/10

answer grid search python

grid search python

Comment

from sklearn.model_selection import GridSearchCV

params = {
    'n_estimators': [5, 10, 20],
    'max_depth': [1, 5, 10],
}

grid_search = GridSearchCV(RandomForestRegressor(), param_grid=params, n_jobs=-1)
grid_search.fit(X_train, y_train)
score = np.round(grid_search.score(X_test, y_test), 3)
print(f"Best random forest classifier score: {score}")
grid_search.best_estimator_, grid_search.best_params_

Popularity 9/10 Helpfulness 7/10 Language python

Source: Grepper

Tags: grid-search python

Link to this answer
Share Copy Link

Contributed on Nov 23 2021

Adventurous Addax

0 Answers Avg Quality 2/10

Continue with Google

By continuing, I agree that I have read and agree to Greppers's Terms of Service and Privacy Policy.

grid search python

Contents

More Related Answers

grid search python

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.