LOOCV accuracy (%) of classifiers.

The leftmost column contains the names of the methods; the rightmost column shows the average accuracy of each method for seven datasets, and other columns show the accuracy (%) for individual datasets. ‘COSSY [KEGG]’ and ‘COSSY [STRING]’ represent COSSY using KEGG and STRING, respectively. ‘DIRAC’ is the algorithm proposed in [17] whose LOOCV accuracies have been calculated using the matlab code published with the paper. k-TSP and TSP denote the classification algorithms described in [5] and [4], respectively. SVM stands for Support Vector Machine. ‘Doublet [Sign-DT]’, ‘Doublet [Sumdiff-DT]’, and ‘Doublet [Mul-DT]’ denote the classification methods using Sign-Doublet, Sumdiff-Doublet, and Mul-Doublet, respectively, with decision trees as described in [6]. The last three rows contain the loocv accuracies using Nave Bayes, k Nearest Neighbor, and PAM classifier, respectively. Results obtained from [5]. Results obtained from [6].