Table 3 Accuracy of discriminating transmembrane segments from non-transmembrane segments in trans-membrane proteins using the SOGR-I and SOGR-IB classifiers, a decision tree classifier (C4.5), and a support vector machine classifier (SVMlight version 6.01), based on ten-fold cross-validation. Three features were used, namely hydropathy (Liu-Deber scale), polarity (Grantham scale), and flexibility.
From: Investigation of transmembrane proteins using a computational approach
C4.5 | |||||
|---|---|---|---|---|---|
Fold | SOGR-I | SOGR-IB | Before Pruning | After Pruning | SVM |
1 | 72.2311 | 72.2311 | 72.4960 | 72.5490 | 72.9730 |
2 | 69.0476 | 67.1733 | 67.8318 | 67.6798 | 67.3252 |
3 | 77.1277 | 76.9149 | 77.5532 | 77.6596 | 77.7660 |
4 | 81.8913 | 84.5875 | 83.7827 | 83.7827 | 83.4608 |
5 | 79.3146 | 78.4889 | 78.3237 | 78.4476 | 78.1586 |
6 | 81.4600 | 83.6230 | 82.8119 | 83.1595 | 82.0780 |
7 | 75.9410 | 76.8266 | 75.6458 | 75.9410 | 76.3100 |
8 | 78.3488 | 79.2783 | 79.8797 | 79.9891 | 79.2783 |
9 | 64.1365 | 65.0418 | 64.5543 | 64.5543 | 64.7632 |
10 | 67.2325 | 65.6089 | 66.8635 | 67.0111 | 67.6753 |
Mean | 74.7 | 75.0 | 75.0 | 75.1 | 75.0 |
Std. dev. | 6.2 | 7.2 | 6.8 | 6.8 | 6.5 |