from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import roc_auc_score

model = RandomForestClassifier()
model.fit(x_train, y_train)

val_auc = roc_auc_score(y_val, model.predict_proba(x_val)[:, 1])
print('Validation AUC:', val_auc)  # Improved generalization indicates reduced variance

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