Table 4.

Accuracy, sensitivity, specificity, and AUC based on 10-fold cross-validation procedures. Selections of eigenvectors are listed above.

Model	accuracy	sensitivity	specificity	AUC
1	69.6%	66.3%	71.8%	0.771
2	72.5%	73.5%	71.8%	0.785
3	68.1%	65.1%	70.2%	0.742
4	67.2%	66.3%	67.7%	0.741
5	65.2%	67.5%	63.7%	0.729
6	58.5%	54.2%	61.3%	0.654
7	69.6%	69.9%	69.4%	0.781
8	73.4%	74.7%	72.6%	0.834
9	73.0%	71.1%	74.2%	0.782
10	73.9%	73.5%	74.2%	0.816
11	71.5%	69.9%	72.6%	0.776
12	68.1%	68.7%	67.7%	0.760
13	74.9%	74.7%	75.0%	0.845
14	81.2%	79.5%	82.3%	0.904