Advanced Modeling and Simulation in Engineering Sciences

Table 4 Results of all models on the validation sets by means of the scores calculated from Eqs. 5–6

From: Parasitic resistance as a predictor of faulty anodes in electro galvanizing: a comparison of machine learning, physical and hybrid models

	R2 Score	MAE	RMSE	R2 Score	MAE	RMSE	ΔRMSE
	Baseline			Hybrid			Hybrid-Baseline
PLS	0.895	0.610	0.819	0.964	0.308	0.481	− 0.34
Ada Boost	0.614	1.302	1.570	0.583	1.479	1.632	0.06
Random Forest	0.983	0.232	0.334	0.989	0.185	0.263	− 0.07
Physical model	0.966	0.337	0.464

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