Table 3.
List of the 10 pipelines fitted to the TKA cohort.
| Pipeline # | Methods | Hyperparameters | Weight |
|---|---|---|---|
| 1 | Random Forest | (max_depth = 5, n_estimators = 98) | 0.199 |
| 2 | Random Forest | (max_depth = 5, n_estimators = 96) | 0.191 |
| 3 | Random Forest | (max_depth = 5, n_estimators = 102) | 0.170 |
| 4 | Random Forest | (max_depth = 3, n_estimators = 101) | 0.155 |
| 5 | Logistic Regression | (l2-penalty, 0.139) | 0.091 |
| 6 | Logistic Regression | (l2-penalty, 0.231) | 0.075 |
| 7 | AdaBoost | (n_estimators = 150) | 0.063 |
| 8 | XGBoost | (max_depth = 5, n_estimators = 153) | 0.045 |
| 9 | Logistic Regression | (l2-penalty, 0.029) | 0.007 |
| 10 | Gradient Boosting | (max_depth = 5, n_estimators = 96) | 0.005 |