Error rates of algorithms in four classification problems
Decision tree | t-rank | SPLPa | SPLRa | Gaussian Kernel SVM | Neural net | |
|---|---|---|---|---|---|---|
| Test errorb | ||||||
| Azoles | 7.2 | 10.3 | 5.8 | 4.1 | 6.8 | 4.4 |
| Fibrates | 14.6 | 4.0 | 1.6 | 2.8 | 1.3 | 1.1 |
| Statins | 23.7 | 9.3 | 6.4 | 5.6 | 6.5 | 5.4 |
| Toxicants | 14.1 | 18.0 | 10.7 | 11.9 | 5.6 | 5.7 |
| Average | 14.9 | 10.4 | 6.1 | 6.1 | 5.0 | 4.2 |
| Training error | ||||||
| Azoles | 0.2 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| Fibrates | 0.9 | 5.0 | 0.5 | 0.0 | 0.0 | 0.0 |
| Statins | 0.7 | 9.0 | 3.0 | 0.0 | 0.0 | 0.0 |
| Toxicants | 0.7 | 15.1 | 0.0 | 0.0 | 0.0 | 0.0 |
| Average | 0.6 | 8.8 | 0.9 | 0.0 | 0.0 | 0.0 |
a SPLP and SPLR were run with ρ values of 0.08 and 0.0025, respectively.
b Test error is an average rate for each classification over 20 random partitions of the data.