Insights into the Estimation of the Enhanced Thermal Conductivity of Phase Change Material-Containing Oxide Nanoparticles using Gaussian Process Regression Method

Table 1

Determining statistical parameters in different phases for models (a) M, (b) E, (c) SE, and (d) RQ.

Model	Set	R^2	MRE (%)	MSE	RMSE	STD
M	Train	1.000	0.610	2.77298E − 06	0.0017	0.0011
	Test	1.000	0.465	1.0165E − 06	0.0010	0.0006
	Total	1.000	0.574	2.34106E − 06	0.0010	0.0010
E	Train	0.999	0.732	6.37106E − 06	0.0025	0.0018
	Test	1.000	0.639	4.38691E − 06	0.0021	0.0015
	Total	1.000	0.709	5.88315E − 06	0.0021	0.0017
SE	Train	0.999	0.847	6.65673E − 06	0.0026	0.0018
	Test	0.999	0.998	7.82742E − 06	0.0028	0.0019
	Total	0.999	0.884	6.94461E − 06	0.0028	0.0018
RQ	Train	0.999	1.078	1.11893E − 05	0.0033	0.0022
	Test	0.999	0.898	7.14543E − 06	0.0027	0.0018
	Total	0.999	1.034	1.01949E − 05	0.0027	0.0021