Table 5.
The Performance of the 4-Variable XGBoost Model for Prediction of COVID-19 Deterioration
LDA | Logistic Regression | Random Forest | Decision Tree | SVM | XGBoost | |
---|---|---|---|---|---|---|
Accuracy | 1.000 | 1.000 | 0.974 | 0.974 | 1.000 | 1.000 |
The Performance of the 4-Variable XGBoost Model for Prediction of COVID-19 Deterioration
LDA | Logistic Regression | Random Forest | Decision Tree | SVM | XGBoost | |
---|---|---|---|---|---|---|
Accuracy | 1.000 | 1.000 | 0.974 | 0.974 | 1.000 | 1.000 |