Table 3 Performances of SVM classifiers
From: A study of hepatic fibrosis staging methods using diffraction enhanced imaging
Kernel function | Kernel scale | Accuracy | Sensitivity | specificity | Training time (s) | Prediction speed (obs/s) |
|---|---|---|---|---|---|---|
Linear | 0.07 | 93.83% | 94.32% | 91.90% | 2367.9 | 170,000 |
Quadratic | 0.37 | 99.31% | 99.66% | 97.93% | 1655.7 | 72,000 |
Cubic | 0.78 | 99.57% | 99.69% | 99.10% | 699.22 | 76,000 |
Gaussian | 0.55 | 99.49% | 99.73% | 98.14% | 93.538 | 6900 |