Table 1 Fractional polynomials for the SVMs models using the BT426 dataset.
From: Predicting beta-turns in proteins using support vector machines with fractional polynomials
Cycle 1 | Cycle 2 | |||||
|---|---|---|---|---|---|---|
Variable | Powers | Powers | ||||
Deviance | Deviance | |||||
P | q | P | q | |||
SVM model1 | 256272.1 | 256255.1 | ||||
256235.6 | 1 | 256209.8 | 1 | |||
256180.1 | -0.5 | 256146.1 | -0.5 | |||
256080.4 | 1 | 2 | 256035.3 | 1 | 2 | |
SVM model2 | 257266.9 | 257050.1 | ||||
256512.8 | 1 | 256314.3 | 1 | |||
256284.1 | 0 | 256086.0 | 0 | |||
256235.6 | 0.5 | 1 | 256035.3 | 0.5 | 1 | |
SVM model3 | 258586.7 | 258511.7 | ||||
256669.1 | 1 | 256247.5 | 1 | |||
256626.6 | 0.5 | 256148.6 | 0.5 | |||
256512.8 | 2 | 3 | 256035.3 | 2 | 2 | |