Table 5 Internal validation result.
Model | Training data | True positive | False positive | False negative | True negative | Sensitivity | Specificity | Balanced accuracy |
|---|---|---|---|---|---|---|---|---|
GLM | ID | 46 | 11 | 9 | 279 | 84% | 96% | 90% |
BD | 255 | 30 | 20 | 245 | 93% | 89% | 91% | |
SVM | ID | 41 | 5 | 14 | 285 | 75% | 98% | 86% |
BD | 269 | 5 | 6 | 270 | 98% | 98% | 98% | |
RF | ID | 45 | 5 | 10 | 285 | 82% | 98% | 90% |
BD | 268 | 2 | 7 | 273 | 97% | 99% | 98% | |
NNET | ID | 48 | 8 | 7 | 282 | 87% | 97% | 92% |
BD | 272 | 6 | 3 | 269 | 99% | 98% | 98% |
