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))
Source: stackoverflow.com