Table 4 Experimental comparison between the number of incorrectly classified instances found on the test sets by GP and Support Vector Machine with exponent 2 on unbalanced datasets.
From: A comparison of machine learning techniques for survival prediction in breast cancer
| Â | 5 yrs | 7.5 yrs | ||
|---|---|---|---|---|
| Â | GP | SVM-K2 | GP | SVM-K2 |
best | 9 | 10 | 12 | 13 |
average (SEM) | 15.04 (0.41) | 17.84 (0.42) | 21.18 (0.49) | 20.7 (0.46) |