Table 5

The average ROC score for four algorithms and four functional groups

algorithms

< 60

60-100

100-300

> 300


twoclass

0.5081

0.7448

0.7743

0.7044

twoclassbal

0.5207

0.7529

0.8002

0.7118

PSoL

0.5313

0.7626

0.7726

0.7142

SPE-RNE

0.6827

0.7969

0.8084

0.7266


ROC score, that is area under ROC curve, is a widely-accepted performance measure for prediction classification problem. The larger ROC score is, the better the performance of classification algorithm is.

Chen et al. BMC Genomics 2010 11(Suppl 2):S11   doi:10.1186/1471-2164-11-S2-S11

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