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Table 4 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. Two features were used, namely 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 71.7541 72.0721 72.3900 72.6020 72.6550
2 65.1469 65.8561 66.1601 66.1601 67.0719
3 77.1277 78.4043 76.3830 77.5532 77.4468
4 83.0986 85.0302 83.7827 83.7827 83.0181
5 77.2502 77.6631 76.4244 76.4244 79.1082
6 81.9235 83.2368 82.8505 82.8119 82.1166
7 75.5720 76.6052 75.7934 75.8672 75.9410
8 79.4423 79.4423 79.7704 79.4970 79.4423
9 64.1365 64.3454 64.2061 64.2061 64.4150
10 67.4539 67.5277 67.0849 67.0849 67.0849
Mean 74.3 75.0 74.5 74.6 74.8
Std. dev. 6.8 7.2 6.9 6.9 6.7
  1. Reproduced with permission from [38]