Probabilistic Inference of Biological Networks via Data Integration

Figure 1

Comparison of average rankings for accuracy (a) and AUC (b) for 20 small data sets using unweighted pairwise kernels. The dot for each kernel identifies its mean rank; horizontal bars depict the Nemenyi test critical region for . The tensor product kernel () consistently had the highest ranking while the symmetric direct sum kernel () had the lowest. The differences between the remaining three kernels become clearer when we consider AUC as well as accuracy: the metric learning () kernel has higher rankings than the other two on both measures.

(a)

(b)