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. 2020 Aug 3;1(6):100092. doi: 10.1016/j.patter.2020.100092

Table 4.

The Performance of 4-Variable Models for Identification of Severe COVID-19 on Admission

LDA Logistic Regression Random Forest Decision Tree SVM XGBoost
AUC macro 0.876 0.879 0.864 0.680 – 0.859
F1 weighted 0.815 0.802 0.815 0.769 0.815 0.856
Accuracy 0.831 0.815 0.831 0.800 0.831 0.846
Sensitivity 0.385 0.385 0.385 0.231 0.385 0.846
Specificity 0.942 0.923 0.942 0.942 0.942 0.846