Table 6 Various classifiers for the categorization of heart disease.
Models | Accuracy | Sensitivity (TRP) | Specificity (TNP) | P value (PPV) | Nvalue (NPV) | F-Score |
|---|---|---|---|---|---|---|
SVC classifier | 0.8294393 | 0.856031128 | 0.789473684 | 0.859375 | 0.7848837 | 0.8577 |
SGD classifier | 0.840909 | 0.86614173 | 0.80645161 | 0.859375 | 0.8152174 | 0.86274 |
Gaussian NB classifier | 0.845474 | 0.87265917 | 0.80645161 | 0.86617100 | 0.8152174 | 0.86940 |
K-nearest neighbor (KNN) Classifier | 0.849137 | 0.87265917 | 0.81725888 | 0.86617100 | 0.8256410 | 0.86940 |
Decision tree (DT) classifier | 0.864806 | 0.88345864 | 0.84 | 0.88014981 | 0.84422110 | 0.88180 |
Random forest (RF) classifier | 0.894736 | 0.88679245 | 0.90163934 | 0.88679245 | 0.90163934 | 0.88679 |
LSTM | 0.917948 | 0.90733590 | 0.92638036 | 0.90733590 | 0.92638036 | 0.90733 |
