Improving fold resistance prediction of HIV-1 against protease and reverse transcriptase inhibitors using artificial neural networks

Table 3 R² values (3 dp) obtained from individual subsets obtained after filtering

ARV classes	ARVs	Whole dataset R² values	Validation set R² values	Test set R² values
PIs	ATV	0.951	0.913	0.856
	DRV	0.991	0.991	0.989
	FPV	0.980	0.938	0.958
	IDV	0.899	0.816	0.842
	LPV	0.966	0.922	0.883
	NFV	0.975	0.924	0.939
	SQV	0.977	0.949	0.906
	TPV	0.989	0.995	0.943
NRTIs	3TC	0.995	0.988	0.985
	ABC	0.984	0.956	0.954
	AZT	0.994	0.979	0.985
	D4T	0.995	0.996	0.979
	DDI	0.997	0.997	0.992
	TDF	0.999	1.000	0.992
NNRTIs	EFV	0.976	0.905	0.967
	ETR	0.996	0.993	0.982
	NVP	0.962	0.939	0.927
	RPV	0.982	0.956	0.915

ISSN: 1471-2105