python from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import train_test_split from sklearn.metrics import classification_report

X 为经过特征工程后的 DataFrame，y 为流失标签

X_train, X_test, y_train, y_test = train_test_split(X, y, stratify=y, test_size=0.3)

model = RandomForestClassifier(n_estimators=100, max_depth=10, class_weight='balanced') model.fit(X_train, y_train)

y_pred = model.predict(X_test) print(classification_report(y_test, y_pred))