Applying Bayesian Optimization for Machine Learning Models in Predicting the Surface Roughness in Single-Point Diamond Turning Polycarbonate

Table 7

Statistical accuracy of ML model regression performing 27 trials on the training dataset and 8 trials on the testing dataset.

Model	Training dataset			Testing dataset
	RMSE	MAE		RMSE	MAE
XGB	0.0076	0.0063	0.9999	0.4033	0.2845	0.7227
XGB bayes_opt	0.0047	0.0027	1	0.2512	0.2225	0.8924
CAT	0.1594	0.1224	0.9565	0.4704	0.3503	0.6229
CAT bayes_opt	0.0792	0.0579	0.9893	0.3940	0.2870	0.7355