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

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

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
  1. 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).