Table 3

Statistics about the comparative performance of the base k-NN classifiers and their label similarity-incorporated versions on small classes (size ≤ 30), measured in terms of the number of classes for which AUC scores are improved by the latter over the former, and the average and maximum improvement in AUC scores over all classes.

Dataset

# Small classes

# Classes improved

Average improvement over all small classes

Maximum improvement


Mnaimneh

47

27

0.0358 (6.24%)

0.1882 (39.92%)

Rosetta

48

21

0.0225 (3.82%)

0.2091 (38.66%)

Krogan

40

14

0.0129 (1.89%)

0.1982 (31.82%)

Combined

48

28

0.0197 (2.72%)

0.1129 (20.39%)


Pandey et al. BMC Bioinformatics 2009 10:142   doi:10.1186/1471-2105-10-142

Open Data