Table 1.

Predictive performances of the three candidate learning models.

Index	True live	False apoptotic	False live	True apoptotic	Live precision	Live recall	Live f value	Accuracy	ROC_AUC	Average precision	Tenfold cross-validation accuracy standard deviation	Tenfold cross-validation accuracy mean
MLP 13-19	798	59	76	775	0.913	0.931	0.922	0.921	0.970	0.972	0.006	0.918
MLP 13-21	795	62	72	779	0.917	0.928	0.922	0.922	0.970	0.972	0.007	0.917
MLP 16-6	800	57	77	774	0.912	0.933	0.923	0.922	0.970	0.973	0.008	0.917