Table 2.
Results for four data sets
| AR/GR/PR | GATA | NF-κB | Thyroid | |
|---|---|---|---|---|
| ML | 54.7 | 77.0 | 81.6 | 51.3 |
| MCL | 55.2 | 73.2 | 76.5 | 50.0 |
| MAP | 55.1 | 77.0 | 81.6 | 51.3 |
| MSP | 56.9 | 77.0 | 79.6 | 50.4 |
| Unified | 57.3 | 77.5 | 81.8 | 52.3 |
Summary the results of Figure 2 for the 4 data sets containing the highest sensitivity for the ML, the MCL, the MAP, the MSP, and the unified generative-discriminative learning principle. For the MAP, the MSP, and the unified generative-discriminative learning principle, we present the best results form the simplex β which correspond to one of these learning principles (see Figure 1b). For each data set, the highest sensitivity is displayed in bold.