From: Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences
Data | 1st | mrnk | 2nd | mrnk | N | z | p.value |
---|---|---|---|---|---|---|---|
SAMME | |||||||
Breast | LORE | 1.54 | Ada-WHIPS | 1.61 | 170 | 0.41 | 0.3412 |
Cardiotocography | LORE | 1.52 | Ada-WHIPS | 1.62 | 637 | 1.06 | 0.1442 |
Diabetic retinography | Ada-WHIPS | 1.39 | LORE | 2.20 | 344 | 6.76 | ≈0** |
Cleveland heart | LORE | 1.63 | Ada-WHIPS | 1.82 | 90 | 0.8158 | 0.2072 |
Mental health survey ’16 | Ada-WHIPS | 1.51 | Anchors | 2.22 | 429 | 6.19 | ≈0** |
SAMME.R | |||||||
Breast | Ada-WHIPS | 1.48 | LORE | 1.70 | 170 | 1.29 | 0.0980 |
Cardiotocography | LORE | 1.52 | Ada-WHIPS | 1.62 | 637 | 1.14 | 0.1269 |
Diabetic retinography | Ada-WHIPS | 1.57 | Anchors | 2.17 | 344 | 4.98 | 0.0000** |
Cleveland heart | LORE | 1.50 | Ada-WHIPS | 1.86 | 90 | 1.52 | 0.0649 |
Mental health survey ’16 | Ada-WHIPS | 1.68 | Anchors | 1.80 | 429 | 1.04 | 0.1492 |