Table 1.
Model performance using three different SNP sets.
Dataset of P-value ![]() |
Dataset of P-value ![]() |
Dataset of P-value ![]() |
|||||||
---|---|---|---|---|---|---|---|---|---|
Metrics | Random Forest | SVM | Our Model | Random Forest | SVM | Our Model | Random Forest | SVM | Our Model |
AUC | 0.5898 | 0.5792 | 0.5840 | 0.7152 | 0.7878 | 0.7808 | 0.8027 | 0.9374 | 0.9570 |
Accuracy | 0.5491 | 0.5840 | 0.5390 | 0.6751 | 0.7204 | 0.7229 | 0.7103 | 0.8640 | 0.9018 |
Sensitivity | 0.4826 | 0.3930 | 0.5918 | 0.6119 | 0.7164 | 0.7449 | 0.5970 | 0.8607 | 0.8980 |
Specificity | 0.6173 | 0.6888 | 0.4876 | 0.7398 | 0.7245 | 0.7015 | 0.8265 | 0.8673 | 0.9055 |