/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

13 votes319 views3 answers
Hstack in numpy
Python
3 votes323 views1 answer
Python web crawler
Python
-1 vote311 views2 answers
Get_string python
Python
0 vote293 views1 answer
Power of array
Python
0 vote300 views1 answer
Earthpy
Python
0 vote290 views1 answer
No module named 'fastai.text.all'
Python
0 vote302 views1 answer
Pygame point at mouse
Python
0 vote315 views1 answer
Check labels with handles in ax
Python
4 votes314 views1 answer
Render audio content without page view in flask
Python
5 votes324 views3 answers
Openpyxl delete rows
Python