표 5 성능 평가 지표 종합

구분	R2	MAE	MSE	RMSE	MAPE
Logistic regression	0.65	0.30	0.08	0.28	15.0
Random forest	0.82	0.20	0.06	0.22	10.5
GBM	0.80	0.22	0.05	0.22	11.2
XGBoost	0.85	0.20	0.04	0.20	9.8
LGBM	0.88	0.15	0.02	0.15	8.7
CatBoost	0.84	0.18	0.03	0.17	9.1

LGBM, light gradient boosting machine; MAE, mean absolute error; MSE, mean squared error; RMSE, root mean square error; MAPE, mean absolute percentage error.