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Table 1 Performance of LIBLINEAR on data sets

From: Interpreting linear support vector machine models with heat map molecule coloring

Data set Target Class AUC ACC
CA Genotoxicity 0.765 0.724
Kazius Toxicity 0.912 0.842
MUV466 GPCR 0.644 -
MUV548 Kinase 0.900 -
MUV600 Nuclear Receptor 0.685 -
MUV644 Kinase 0.893 -
MUV652 RNAse 0.782 -
MUV689 Kinase 0.865 -
MUV692 Nuclear Receptor 0.584 -
MUV712 Chaperone 0.863 -
MUV713 PPI 0.784 -
MUV733 PPI 0.634 -
MUV737 PPI 0.687 -
MUV810 Kinase 0.822 -
MUV832 Protease 0.960 -
MUV846 Protease 0.958 -
MUV852 Protease 0.852 -
MUV858 GPCR 0.669 -
MUV859 GPCR 0.595 -
  1. AUC and ACC performance of LIBLINEAR on the MUV, Kazius, and chromosome aberration data sets.