/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

1 vote229 views1 answer
Python list comprehension elif
Python
0 vote201 views1 answer
How to form .cleaned data in class based views in django
Python
8 votes227 views5 answers
Convert integer to binary in python
Python
0 vote214 views1 answer
Window freezes after clicking of button in python GTK3
Python
0 vote205 views1 answer
Gyp err! stack error: command failed: c:\python39\python.exe -c import sys; print "%s.%s.%s" % sys.version_info[:3];
Python
0 vote210 views1 answer
Check if a word is a noun python
Python
-1 vote209 views1 answer
Python plt show legend
Python
2 votes203 views3 answers
Roll dice python
Python
3 votes233 views1 answer
Rotate 2 dimensional list python
Python
1 vote191 views1 answer
Stringf replcae in python
Python