/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 vote193 views1 answer
Pip install django celery results
Python Django
0 vote186 views1 answer
Delete file in django terminal
Python Django
3 votes167 views2 answers
Numpy find where max element ist
Python
1 vote184 views1 answer
Flask redirect to url
Python Flask
15 votes195 views6 answers
Python string
Python
0 vote175 views1 answer
Highlighting the shortest path in a Networkx graph
Python
2 votes157 views1 answer
Hide root window tkinter
Python
3 votes218 views1 answer
Django group by
Python Django
4 votes164 views3 answers
How to create one list from 2d list python
Python
21 votes156 views6 answers
Print statement in python
Python