Using an SGB Decision Tree Approach to Estimate the Properties of CRM Made by Biomass Pretreated with Ionic Liquids

Table 1

Various statistical analyses to evaluate the proposed model.

Output	Phase	R^2	MRE (%)	MSE	RMSE	STD
Solid recovery	Training set	0.999	0.37	6.87E − 04	2.62E − 002	2.53E − 002
	Testing set	0.995	0.98	3.39E − 003	5.82E − 002	5.55E − 002
	Total set	0.998	0.52	1.36E − 003	3.69E − 002	3.56E − 002
Cellulose enrichment factor	Training set	0.994	0.61	1.83E + 00	1.35E + 00	1.28E + 00
	Testing set	0.992	0.71	2.43E + 00	1.56E + 00	1.49E + 00
	Total set	0.994	0.64	1.98E + 00	1.41E + 00	1.34E + 00