From: Data reduction techniques for highly imbalanced medicare Big Data
Features classifier | 15 | 20 | 25 | 30 | 82 |
---|---|---|---|---|---|
CatBoost | 0.8016 | 0.7953 | 0.7962 | 0.7949 | 0.7797 |
ET | 0.4954 | 0.4647 | 0.4605 | 0.4391 | 0.3275 |
LightGBM | 0.4447 | 0.4661 | 0.4603 | 0.4841 | 0.4982 |
Logistic regression | 0.3669 | 0.3536 | 0.3519 | 0.2939 | 0.3047 |
Random forest | 0.6097 | 0.5398 | 0.5519 | 0.5249 | 0.2429 |
XGBoost | 0.7889 | 0.7448 | 0.7589 | 0.7548 | 0.7376 |