Randoomforest sklearn

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]]))

-1

Similar codes

24 votes192 views2 answers
Python timedelta
Python
0 vote198 views1 answer
Shutil cut poython
Python
0 vote169 views1 answer
Sort lexo python
Python
25 votes192 views3 answers
Opencv documentation
Python
0 vote172 views1 answer
How many perfect squared lie between 1 and 400
Python
0 vote196 views1 answer
Spotify recommendations
Python
0 vote199 views1 answer
Fake-useragent proxy webscraping browser change
Python
0 vote181 views1 answer
How to print two values from a list in python
Python
-2 votes209 views9 answers
Django
Python
0 vote271 views1 answer
Django fixtures. To dump data
Python