Grid search python

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_

Similar codes

0 vote273 views1 answer
Format numbers in column to percentage in python
Python
0 vote261 views1 answer
Arduino loop array
Python
0 vote280 views1 answer
How to copy items in list n times in list python
Python
5 votes288 views2 answers
Import get_object_or_404
Python
1 vote295 views1 answer
Display 2d numpy array as image
Python
10 votes217 views8 answers
Fibonacci sequence python
Python
0 vote302 views1 answer
Write a variable and assin a string to it
Python
1 vote317 views10 answers
Python to java converter online
Python
5 votes282 views1 answer
UnicodeDecodeError: 'charmap' codec can't decode byte 0x9e in position 3359: character maps to <undefined>
Python
1 vote272 views1 answer
Requirements.py for flask
Python