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

52 votes319 views6 answers
Sorting a dictionary in python
Python
3 votes275 views3 answers
Pygame python3.8
Python
0 vote253 views1 answer
How to set learning rate in keras
Python
0 vote265 views1 answer
Python - How To Pad String With Spaces
Python
1 vote235 views1 answer
Print last output python
Python
0 vote303 views2 answers
Flask abort
Python Flask
0 vote308 views1 answer
ID number zero python
Python
0 vote320 views1 answer
Django admin.py date format
Python Django
0 vote282 views1 answer
Use of numpy matrix in tkinter python 3
Python
0 vote280 views1 answer
How to increase size of graph in jupyter
Python