RandomForestClassifier는 다음을 구현하는 Python용 scikit-learn 라이브러리의 클래스입니다.

from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split

X, y = make_classification(n_samples=1000, n_features=4,
                           n_informative=2, n_redundant=0,
                           random_state=0, shuffle=False)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)

clf = RandomForestClassifier(n_estimators=100, max_depth=2,
                             random_state=0)
clf.fit(X_train, y_train)