Table 2 Mean Scores for the best performing classifier in a 5-fold cross-validation of our dataset
Target | Metric | Classifier | Mean score |
|---|---|---|---|
MRI | |||
Accuracy | Random Forest Classifier | 0.96 | |
ROC-AUC | XGBoost Classifier | 1.0 | |
MCC | XGBoost Classifier | 0.78 | |
Fever | |||
Accuracy | Gradient Boost Classifier | 0.9 | |
ROC-AUC | Logistic Regression | 0.67 | |
MCC | Logistic Regression | 0.4 | |
Transfusion | |||
Accuracy | Random Forest Classifier | 0.9 | |
ROC-AUC | Random Forest Classifier | 0.91 | |
MCC | TabPFN Classifier | 0.48 | |
Any AE | |||
Accuracy | XGBoost Classifier | 0.79 | |
ROC-AUC | Logistic Regression | 0.81 | |
MCC | XGBoost Classifier | 0.52 |
