Table 3.
Accuracy, precision, recall and F-1 score of XGBoost, random forest and logistic regression in classification models.
Class 0 (ADL <= 50) | Class 1 (ADL > 50) | Accuracy | Macro fl score | |||||
---|---|---|---|---|---|---|---|---|
Precision | Recall | F1-score | Precision | Recall | F1-score | |||
Random forest | 0.92 | 0.94 | 0.93 | 0.96 | 0.95 | 0.95 | 0.94 | 0.94 |
Logistic regression | 0.9 | 0.9 | 0.9 | 0.94 | 0.93 | 0.94 | 0.92 | 0.92 |
XGboost | 0.92 | 0.89 | 0.91 | 0.93 | 0.95 | 0.94 | 0.92 | 0.92 |