Table 6 Results of the evaluation...

Table 6

Results of the evaluation metrics for each regression machine learning algorithm

ML models	MAE	RMSE	R²
XGBoost	28.74	101.04	0.789
LightGBM	29.43	101.43	0.788
CatBoost	31.19	102.92	0.781
Random Forest	32.16	108.81	0.756

Note(s): MAE, Mean absolute error; RMSE, Root mean-square error. For MAE and RMSE, the lower the absolute value, the better the performance, and for R², the closer to 1, the better the results

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