Future Journal of Pharmaceutical Sciences

Table 1 Tablet compact density modeling

From: Application of data-intelligence algorithms for modeling the compaction performance of new pharmaceutical excipients

Tablet density
Training					Testing
	R²	RMSE	MSE	R	R²	RMSE	MSE	R
Avicel® PH101-ANFIS	0.99950	0.00149	0.00003	0.99975	0.999736	0.022361	5.28E−05	0.999868
Avicel® 101-ANN	0.99091	0.00636	0.00061	0.99544	0.953647	0.296293	0.009271	0.976548
Avicel® PH101-MLR	0.99926	0.00181	0.00005	0.99963	0.999168	0.039684	0.000166	0.999584
ES-ANFIS	0.99975	0.00105	0.00002	0.99988	0.999573	0.024083	8.54E−05	0.999787
ES-ANN	0.98760	0.00742	0.00083	0.99378	0.995874	0.074871	0.000825	0.997935
ES-MLR	0.99282	0.00565	0.00048	0.99640	0.985244	0.141585	0.002951	0.992595
PS-ANFIS	0.99909	0.00201	0.00006	0.99954	0.999664	0.022804	6.72E−05	0.999832
PS-ANN	0.99895	0.00216	0.00007	0.99947	0.998751	0.043949	0.00025	0.999375
PS-MLR	0.99780	0.00313	0.00015	0.99890	0.997585	0.061116	0.000483	0.998792
AS-ANFIS	0.99983	0.00087	0.00001	0.99992	0.999729	0.022669	5.42E−05	0.999864
AS-ANN	0.99932	0.00174	0.00005	0.99966	0.997109	0.074027	0.000578	0.998553
AS-MLR	0.99939	0.00165	0.00004	0.99969	0.999389	0.034041	0.000122	0.999694

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