Review Article
Tabu Search and Machine-Learning Classification of Benign and Malignant Proliferative Breast Lesions
Table 4
Comparison of proposed method and other methods on BIDMC-MGH.
| Model | AUC (%) |
| L1-regularized LR [5] | 85.8 | L1-regularized LR with active feature [5] | 89.7 | LR with early stopping and active features [34] | 88.4 | CAFE model [34] | 91.8 | Proposed model | 95 |
|
|