/Python/Randomforestregressor in sklearn

Randomforestregressor in 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 vote115 views1 answer
Run a python script with python and catch command line output
Python
2 votes156 views1 answer
CMake Error at 3rdparty/GLFW/CMakeLists.txt:236 (message): The RandR headers were not found
Python
0 vote114 views1 answer
Left rotation in list
Python
0 vote152 views1 answer
Torchvision.transforms flatten
Python
57 votes154 views6 answers
Python 2 decimal places
Python
2 votes171 views3 answers
Area of a circle in python
Python
42 votes174 views6 answers
Python comment
Python
0 vote147 views1 answer
List Delete a Element
Python
0 vote159 views3 answers
Autoextract scrapy spider
Python
0 vote151 views1 answer
Print('tuition_total\tyears')
Python