Table 9.
Performance of the classifiers with the highest sensitivity and a specificity of at least 0.5 on the hepatobiliary disease and acute renal failure data sets
|
Data set |
Algorithm |
Baseline |
Under-sampling |
Over-sampling |
Cost-sensitive |
||||
|---|---|---|---|---|---|---|---|---|---|
| Sens. | Spec. | Sens. | Spec. | Sens. | Spec. | Sens. | Spec. | ||
| Hepatobiliary disease |
SVM |
0.89 |
0.77 |
0.94 |
0.52 |
0.93 |
0.65 |
0.87 |
0.79 |
| MyC |
0.92 |
0.68 |
0.95 |
0.56 |
0.94 |
0.54 |
0.95 |
0.54 |
|
| C4.5 |
0.90 |
0.79 |
0.93 |
0.59 |
0.94 |
0.56 |
0.92 |
0.66 |
|
| RIPPER |
0.90 |
0.71 |
0.93 |
0.72 |
0.94 |
0.51 |
0.93 |
0.67 |
|
| Acute renal failure |
SVM |
0.62 |
0.92 |
0.86 |
0.56 |
0.84 |
0.54 |
0.59 |
0.92 |
| MyC |
0.69 |
0.90 |
0.83 |
0.70 |
0.89 |
0.51 |
0.81 |
0.63 |
|
| C4.5 |
0.69 |
0.88 |
0.86 |
0.77 |
0.83 |
0.61 |
0.78 |
0.60 |
|
| RIPPER | 0.71 | 0.89 | 0.84 | 0.68 | 0.89 | 0.59 | 0.78 | 0.80 | |