Table 6 Metrics obtained by each model... | Emerald Publishing

Table 6

Metrics obtained by each model ordered from lowest to highest RMSE

Model	RMSE	MAE	MAPE	Variables	Overfitting
Second Voting (OMP/RF/ET)	0.1715	0.1312	1.4816	Stationary	No
First Voting (OMP/CatBoost/AdaBoost/XGBoost)	0.1759	0.1360	1.3781	Stationary	Yes
ET	0.1782	0.1358	1.3479	Stationary	No
OMP	0.1786	0.1418	1.558	Stationary	No
Random Forest	0.1858	0.1464	1.5869	Stationary	No
CatBoost	0.1860	0.1456	1.5149	Stationary	Yes
Adaboost	0.1889	0.1499	1.6574	Stationary	Yes
XGBoost	0.1899	0.1509	1.4860	Stationary	Yes
Voting (BR/RL)	0.3336	0.2781	0.0782	Nonstationary	Yes
Bayesian Ridge	0.3338	0.2751	0.0783	Nonstationary	Yes
Stationary Base Linear Regression	0.3816	0.3116	5.3768	Stationary	No
Non-Stationary Base Linear Regression	0.4018	0.3451	0.0866	Nonstationary	No

Model	RMSE	MAE	MAPE	Variables	Overfitting
Second Voting (OMP/RF/ET)	0.1715	0.1312	1.4816	Stationary	No
First Voting (OMP/CatBoost/AdaBoost/XGBoost)	0.1759	0.1360	1.3781	Stationary	Yes
ET	0.1782	0.1358	1.3479	Stationary	No
OMP	0.1786	0.1418	1.558	Stationary	No
Random Forest	0.1858	0.1464	1.5869	Stationary	No
CatBoost	0.1860	0.1456	1.5149	Stationary	Yes
Adaboost	0.1889	0.1499	1.6574	Stationary	Yes
XGBoost	0.1899	0.1509	1.4860	Stationary	Yes
Voting (BR/RL)	0.3336	0.2781	0.0782	Nonstationary	Yes
Bayesian Ridge	0.3338	0.2751	0.0783	Nonstationary	Yes
Stationary Base Linear Regression	0.3816	0.3116	5.3768	Stationary	No
Non-Stationary Base Linear Regression	0.4018	0.3451	0.0866	Nonstationary	No

Source(s): Table by authors