Table 14 Proportion of over-fitting, 0.0 precision explanations
From: Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences
| Â | SAMME | SAMME.R | ||||
|---|---|---|---|---|---|---|
Data | Ada-WHIPS | Anchors | LORE | Ada-WHIPS | Anchors | LORE |
Breast cancer | 0 | 0.01 | 0.04 | 0 | 0.18 | 0.06 |
Cardiotocography | 0.00 | 0.07 | 0.09 | 0.00 | 0.08 | 0.09 |
Diabetic retinopathy | 0 | 0.15 | 0.19 | 0.00 | 0.13 | 0.28 |
Cleveland heart | 0 | 0.03 | 0.14 | 0 | 0.03 | 0.12 |
Mental health survey ’16 | 0 | 0.00 | 0.01 | 0 | 0.04 | 0.06 |
Mental health survey ’14 | 0 | 0.01 | N/A | 0 | 0.01 | N/A |
Hospital readmission | 0 | 0.15 | N/A | 0 | 0.01 | N/A |
Thyroid | 0 | 0.03 | N/A | 0 | 0.15 | N/A |
Understanding society | 0.00 | 0.01 | N/A | 0.01 | 0.08 | N/A |