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. 2020 Apr 23;15(4):e0232103. doi: 10.1371/journal.pone.0232103

Table 2. Model building before (T1k) and after re-modeling of misclassified samples (Mix) using lasso.

SNP Dataset Samples (AD, Ctrl) Input SNPs Model Length Accuracy Sensitivity Specificity AUC
T1k* 448 (163, 285) 1,106 433 0.801 0.798 0.804 0.801
Missed (test)* 89 (56, 33) 461 49 0.929 0.857 0.952 0.905
SNPs Mix* 448 (163, 285) 1,567 493 0.797 0.816 0.786 0.801
Models Mix* 448 (163, 285) 482 358 0.844 0.834 0.849 0.842
T1k (train) 1,382 (650, 732) 1,106 433 0.985 0.984 0.986 0.985
Missed (train) 21 (9, 12) 384 8 0.833 1.000 0.750 0.875
SNPs Mix* 448 (163, 285) 1,490 494 0.813 0.816 0.811 0.813
Models Mix* 448 (163, 285) 501 391 0.848 0.828 0.860 0.844

* Indicates that the evaluation was performed in the test set. AD, CTRL refer to Alzheimer’s Disease and Control subjects.