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 (SVM^light version 6.01), based on ten-fold cross-validation. Two features were used, namely polarity (Grantham scale) and flexibility.

			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

Reproduced with permission from [38]