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

			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

Reproduced with permission from [38]