From: Using beta binomials to estimate classification uncertainty for ensemble models
Data set | Model | Architect.b | Threshold | Sensitivity | Specificity | J c | α | β | MRd |
---|---|---|---|---|---|---|---|---|---|
logP2 | 1 | 33×6×40 | 16.5 | 0.849 | 0.882 | 0.731 | 0.695c | 0.772 | 0.083 |
2 | 33×3×45 | 16.5 | 0.861 | 0.857 | 0.718 | 0.635 | 0.571 | 0.087 | |
Ames | 1 | 33×2×26 | 16.5 | 0.791 | 0.596 | 0.387 | 0.926 | 0.537 | 0.222 |
2 | 33×4×24 | 16.5 | 0.700 | 0.676 | 0.376 | 0.489 | 0.462 | 0.239 | |
logP3 | 1a | 33×4×44 | 16.5 | 0.882 | 0.892 | 0.774 | 1.229 | 0.469 | 0.077 |
1b | 33×4×44 | 24.5 | 0.840 | 0.921 | 0.761 | 0.925 | 0.323 | 0.066 | |
2a | 75×4×42 | 37.5 | 0.889 | 0.885 | 0.775 | 1.163 | 0.472 | 0.089 | |
2b | 75x4x42 | 53.5 | 0.858 | 0.910 | 0.768 | 1.037 | 0.415 | 0.083 | |
CYP2D6 | 1a | 33×3×35 | 16.5 | 0.721 | 0.789 | 0.510 | 1.561 | 0.447 | 0.211 |
1b | 33×3×35 | 27.5 | 0.604 | 0.873 | 0.476 | 1.350 | 0.294 | 0.164 | |
logP3 | 3a e | 33×3×24 e | 16.2 | 0.874 | 0.862 | 0.736 | 0.891 | 0.263 | 0.095 |
3b | 33×3×24 | 20.3 | 0.862 | 0.874 | 0.742 | 0.690 | 0.306 | 0.096 |