Table 5. Average ranks of the classifier calibration errors over all datasets.
Lower values are an indication of possible better performance.
| lpICS | lpICS-pre | enICS | enICS-pre | DT | Naive Bayes | SVM-lin | SVM-rbf |
|---|---|---|---|---|---|---|---|
| 4.83 | 4.83 | 4.00 | 4.00 | 4.17 | 8.00 | 2.83 | 3.83 |
Lower values are an indication of possible better performance.
| lpICS | lpICS-pre | enICS | enICS-pre | DT | Naive Bayes | SVM-lin | SVM-rbf |
|---|---|---|---|---|---|---|---|
| 4.83 | 4.83 | 4.00 | 4.00 | 4.17 | 8.00 | 2.83 | 3.83 |