Table 2.
Random forest model performance importance values.
| Model | Accuracy | Precision | Recall | F1 | ROC | Sensitivity | Specificity | Brier score |
|---|---|---|---|---|---|---|---|---|
| RF | 0.732 | 0.74 | 0.87 | 0.80 | 0.753 | 0.789 | 0.614 | 0.196 |
RF = random forest, ROC = receiver operating characteristic.
Random forest model performance importance values.
| Model | Accuracy | Precision | Recall | F1 | ROC | Sensitivity | Specificity | Brier score |
|---|---|---|---|---|---|---|---|---|
| RF | 0.732 | 0.74 | 0.87 | 0.80 | 0.753 | 0.789 | 0.614 | 0.196 |
RF = random forest, ROC = receiver operating characteristic.