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from sklearn.ensemble import RandomForestClassifier

from sklearn.metrics import classification_report

from sklearn.metrics import classification_report

rf = RandomForestClassifier(n_estimators=100)

rf_model = rf.fit(X_train, y_train)

rf_pred = rf.predict(X_test)

print(classification_report(y_test, rf_pred))