From: Justified granulation aided noninvasive liver fibrosis classification system
Method | Overall accuracy [%] | Specificity [%] | Sensitivity [%] | ||||
---|---|---|---|---|---|---|---|
Ŝ 1 | Ŝ 2 | Ŝ 3 | Ŝ 1 | Ŝ 2 | Ŝ 3 | ||
Granular model | 67.9 | 62.1 | 93.1 | 91.8 | 86.8 | 40.2 | 74.6 |
Random Tree | 61.4 | 71.4 | 76.6 | 90.5 | 66.7 | 57.8 | 55.9 |
PNN | 60.7 | 70.8 | 88.8 | 80.1 | 76.7 | 32.4 | 74.6 |
Naïve Bayes | 59.7 | 75.8 | 63.3 | 96.1 | 62.0 | 62.7 | 49.2 |
Auto-Binned IBk | 58.6 | 54.0 | 79.3 | 97.0 | 77.5 | 38.2 | 52.5 |
RecBF-DDA | 56.9 | 60.4 | 72.8 | 96.2 | 65.2 | 53.1 | 46.6 |
IBk (k-NN) | 49.3 | 30.4 | 82.4 | 99.1 | 87.6 | 20.6 | 15.3 |