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

0 vote295 views1 answer
Difference between __gte and __lte in Django
Python
29 votes237 views2 answers
Lambda en python
Python
0 vote267 views1 answer
Django admin.py all fields
Python
68 votes243 views6 answers
List length python
Python
0 vote248 views1 answer
Discord embed colors python
Python
0 vote254 views1 answer
Controlliing a fill pattern in matplotlib
Python
-1 vote263 views1 answer
Python return double quotes instead of single
Python
0 vote281 views1 answer
Python set split limit
Python
1 vote256 views1 answer
Python seaborn lmplot add title
Python
0 vote257 views1 answer
Linking bootstrap in flask
Python