Table 3 Accuracy comparison result for real-word datasets with different settings
From: Privacy-preserving logistic regression with secret sharing
Dataset | Records num | Feature num | g(x) degree | CMPC | BMPC | OLR | |||
|---|---|---|---|---|---|---|---|---|---|
Accuracy | AUC | Accuracy | AUC | Accuracy | AUC | ||||
3 | 71.87% | 0.740 | 71.87% | 0.740 | 71.87% | 0.740 | |||
PIMA | 768 | 9 | 5 | 71.87% | 0.741 | 71.87% | 0.740 | 71.87% | 0.740 |
7 | 71.87% | 0.741 | 71.87% | 0.741 | 71.87% | 0.741 | |||
No approx | – | – | – | – | 71.87% | 0.741 | |||
3 | 81.05% | 0.842 | 81.05% | 0.846 | 80% | 0.846 | |||
PCS | 379 | 10 | 5 | 81.05% | 0.845 | 81.05% | 0.847 | 80% | 0.847 |
7 | 81.05% | 0.847 | 81.05% | 0.848 | 81.05% | 0.848 | |||
No approx | – | - | – | – | 81.05% | 0.848 | |||
3 | 64.58% | 0.519 | 64.58% | 0.519 | 64.58% | 0.519 | |||
LBW | 189 | 10 | 5 | 64.58% | 0.519 | 64.58% | 0.519 | 64.58% | 0.519 |
7 | 62.5% | 0.519 | 62.5% | 0.517 | 64.58% | 0.519 | |||
No approx | – | – | – | – | 62.5% | 0.523 | |||
3 | 73.61% | 0.651 | 73.61% | 0.651 | 73.61% | 0.651 | |||
UIS | 575 | 9 | 5 | 72.91% | 0.652 | 72.91% | 0.652 | 72.91% | 0.652 |
7 | 72.91% | 0.655 | 73.61% | 0.651 | 72.91% | 0.655 | |||
No approx | – | – | – | – | 72.22% | 0.656 | |||