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random forest cross validation python

from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import cross_val_score
import numpy as np

clf = RandomForestClassifier() #Initialize with whatever parameters you want to

# 10-Fold Cross validation
print np.mean(cross_val_score(clf, X_train, y_train, cv=10))

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random forest cross validation python

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