Genetic algorithm with logistic regression for prediction of progression to Alzheimer's disease

BMC Bioinformatics

Table 3 AUC values from the LR models with each single variable or with any 2 of the most selected 3 features (variables).

Variable#	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19
AUC	0.69	0.71	0.80	0.59	0.77	0.78	0.78	0.54	0.75	0.70	0.61	0.58	0.59	0.58	0.57	0.54	0.54	0.71	0.71
Variable#	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37
AUC	0.52	0.51	0.53	0.61	0.51	0.57	0.55	0.50	0.61	0.51	0.64	0.51	0.59	0.53	0.55	0.59	0.60	0.53
	Variable set (with 2 variables)							5, 18				3, 5				3, 18
	AUC							0.80				0.85				0.82

The best value for a single variable was AUC = 0.8, the best value for two variables was AUC = 0.85, while the best value for selected set of small number of features was AUC = 0.90 (see Table 2).

ISSN: 1471-2105