sklearn random forest regressor
from sklearn.ensemble import RandomForestRegressor
clf = RandomForestRegressor(max_depth=2, random_state=0)
clf.fit(X, y)
print(clf.predict([[0, 0, 0, 0]]))sklearn random forest regressor
from sklearn.ensemble import RandomForestRegressor
clf = RandomForestRegressor(max_depth=2, random_state=0)
clf.fit(X, y)
print(clf.predict([[0, 0, 0, 0]]))sklearn random forest feature importance
RandomForestClassifier(random_state=0)Copyright © 2021 Codeinu
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