Table 4 Evaluation of the binary class model with binary test data
From: Early prediction of patient discharge disposition in acute neurological care using machine learning
Precision | Recall | |||||||||
LR | SVM | KNN | XG | RF | LR | SVM | KNN | XG | RF | |
Home | 68% | 67% | 64% | 70% | 69% | 75% | 76% | 78% | 71% | 72% |
Non-Home | 72% | 72% | 72% | 71% | 71% | 65% | 63% | 56% | 70% | 69% |
F1 | AUC | |||||||||
LR | SVM | KNN | XG | RF | LR | SVM | KNN | XG | RF | |
Home | 71% | 71% | 70% | 70% | 70% | 76% | 76% | 72% | 77% | 76% |
Non-Home | 68% | 67% | 63% | 70% | 70% | |||||