/Python/Randomforestclassifier fit sklearn

Randomforestclassifier fit sklearn

from sklearn.ensemble import RandomForestRegressor
from sklearn.datasets import make_regression
X, y = make_regression(n_features=4, n_informative=2,
                       random_state=0, shuffle=False)
regr = RandomForestRegressor(max_depth=2, random_state=0)
regr.fit(X, y)

print(regr.predict([[0, 0, 0, 0]]))

Similar codes

4 votes181 views2 answers
Delete rows in dataframe pandas
Python
2 votes193 views2 answers
Format binary string python
Python
0 vote203 views1 answer
New column in pandas with where logic
Python
7 votes181 views2 answers
Python encode comment
Python
8 votes238 views5 answers
Pop vs remove python
Python
0 vote201 views1 answer
Css selenium
Python
22 votes230 views7 answers
Remove special characters from string python
Python
0 vote193 views1 answer
Remove multiple strings from list python
Python
1 vote193 views1 answer
Python: separate lines including the period or excalamtion mark and print it to the prompt..
Python
0 vote182 views1 answer
Python create random mac
Python