Import RandomForestClassifier

Sklearn random forest

from sklearn.ensemble import RandomForestClassifier


clf = RandomForestClassifier(max_depth=2, random_state=0)

clf.fit(X, y)

print(clf.predict([[0, 0, 0, 0]]))

Import RandomForestClassifier

from sklearn.ensemble import RandomForestClassifier

Sklearn random forest

from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import make_classification


X, y = make_classification(n_samples=1000, n_features=4,
                            n_informative=2, n_redundant=0,
                            random_state=0, shuffle=False)
clf = RandomForestClassifier(max_depth=2, random_state=0)

clf.fit(X, y)

print(clf.predict([[0, 0, 0, 0]]))

Similar codes

9 votes392 views3 answers
How to get image in jupyter notebook
Python
0 vote356 views1 answer
Selenium how to handle element not found python
Python
3 votes364 views5 answers
How to groupby in pandas
Python
2 votes443 views3 answers
For loop inclusive python
Python
0 vote358 views1 answer
Convert a pdf folder to excell pandas
Python
0 vote350 views1 answer
Python how to move multiple values from one list to another at once
Python
0 vote331 views1 answer
Update profile rasterio pyton
Python
1 vote347 views1 answer
Numpy subarray python
Python
0 vote346 views1 answer
He escape() function is used to convert the <, &, and > characters to the corresponding entity references:
Python
3 votes329 views1 answer
Create virtual env pyhton3
Python