Table 4.
Classifier | Accuracy Score | Balanced Accuracy Score | Test Score | Precision | Recall | AUC | AUPR |
---|---|---|---|---|---|---|---|
LoR | 0.9779 | 0.9719 | 0.9728 | 0.9432 | 0.9786 | 0.97 | 0.93 |
RC | 0.9736 | 0.9592 | 0.9692 | 0.9312 | 0.9463 | 0.94 | 0.89 |
SVM | 0.7899 | 0.7562 | 0.7332 | 0.7599 | 0.6524 | 0.88 | 0.89 |
Note: Models which were not included in the above tables were either overfit models or less accurate in predicting LoS and mortality. This can be further understood in Table 5.