From: Data reduction techniques for highly imbalanced medicare Big Data
Features classifier | 7a | 7b | 8 | 9 | 10 |
---|---|---|---|---|---|
CatBoost | 0.7575 | 0.7582 | 0.7570 | 0.7558 | 0.7585 |
ET | 0.5941 | 0.5171 | 0.5585 | 0.6006 | 0.5878 |
LightGBM | 0.4548 | 0.4533 | 0.4689 | 0.5116 | 0.5529 |
Logistic Regression | 0.3468 | 0.3368 | 0.3497 | 0.3482 | 0.3537 |
Random Forest | 0.5873 | 0.4937 | 0.5927 | 0.5393 | 0.5903 |
XGBoost | 0.7533 | 0.7539 | 0.7533 | 0.7514 | 0.7571 |