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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
  1. Reproduced with permission from [38]