/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

0 vote167 views1 answer
Get last save id django model
Python Django
0 vote136 views1 answer
** (ArgumentError) lists in Phoenix.HTML and templates may only contain integers representing bytes, binaries or other lists, got invalid entry:
Python
-1 vote84 views2 answers
Beautifulsoup docs
Python
1 vote169 views1 answer
Use django taggit in template
Python Django
1 vote170 views1 answer
Query with condition django
Python Django
11 votes123 views3 answers
Logistic regression algorithm in python
Python
0 vote95 views1 answer
Valueerror: must have equal len keys and value when setting with an iterable
Python
1 vote135 views1 answer
Python write text file on the next line
Python
0 vote144 views1 answer
When converting from dataframe to list delete nan values
Python
1 vote174 views2 answers
Run flask in background
Python Flask