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

13 votes163 views2 answers
Python remove directory not empty
Python
0 vote175 views1 answer
Exit() function
Python
0 vote176 views1 answer
Return an RDD of grouped items.
Python
0 vote166 views1 answer
Install python package from git colab
Python
0 vote170 views1 answer
Try for loop python
Python
32 votes175 views6 answers
Pandas count unique values in column
Python
6 votes167 views2 answers
Python debugger online
Python
12 votes215 views6 answers
Python convert date to timestamp
Python
2 votes174 views1 answer
Difference between sort and sorted
Python
7 votes167 views2 answers
What is the output of the following code? np.arange(0,22,6)
Python