Table 7.

Comparison of relative error metrics.

Model	MARE (mean ± std)	RMSRE (mean ± std)	RMSPE (mean ± std)
Gradient Boosting	0.061 ± 0.004	0.084 ± 0.006	8.4 ± 0.6
XGBoost	0.056 ± 0.003	0.078 ± 0.005	7.8 ± 0.5
LightGBM	0.058 ± 0.004	0.081 ± 0.006	8.1 ± 0.6
CatBoost	0.054 ± 0.003	0.075 ± 0.005	7.5 ± 0.5
Neural Network	0.069 ± 0.005	0.097 ± 0.007	9.7 ± 0.7
LSTM	0.066 ± 0.005	0.092 ± 0.006	9.2 ± 0.6
Stacked Regressor	0.051 ± 0.002	0.072 ± 0.004	7.2 ± 0.4