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 | - |