Comprehensive Modeling in Predicting Biodiesel Density Using Gaussian Process Regression Approach

Table 1

Obtained statistical parameters to evaluate the performance of the models.

Model	Phase		MRE (%)	MSE	RMSE	STD
GPR (exponential)	Train	1.000	0.01	0.01	0.11	0.10
	Test	1.000	0.05	0.38	0.61	0.45
	Total	1.000	0.02	0.10	0.61	0.29
GPR (Matern)	Train	1.000	0.04	0.18	0.42	0.27
	Test	1.000	0.04	0.25	0.50	0.33
	Total	1.000	0.04	0.19	0.50	0.28
GPR (squared exponential)	Train	1.000	0.04	0.21	0.46	0.30
	Test	1.000	0.04	0.23	0.48	0.32
	Total	1.000	0.04	0.22	0.48	0.30
GPR (rational quadratic)	Train	1.000	0.04	0.22	0.47	0.30
	Test	1.000	0.04	0.22	0.47	0.30
	Total	1.000	0.04	0.22	0.47	0.30