
PWM

PMM1

PMM2

PMM3

PMM4


PWM

–

0+0

0+0

0+0

0+0

PMM1

15+6

–

0+0

1+0

2+0

PMM2

15+8

4+6

–

0+0

2+0

PMM3

14+9

6+4

1+1

–

0+0

PMM4

16+9

7+5

3+3

2+0

–

 For each data and every combination of models, we perform a Wilcoxon signed rank test (α=0.01) comparing the distribution of AUC values from the different crossvalidation iterations. The entry in a+b the ith row and the jth column denotes the number of data sets for which the model corresponding to row i yields a significantly better classification performance than the model corresponding to column j, where a denotes the number of significant differences in category A data sets, and b the number of significant differences in category b data sets. We find many instances where increasing the model order yields to significantly better classification (lower triangle), but only few instances where it yields a significantly worse classification (upper triangle)