From: Predictive modeling for COVID-19 readmission risk using machine learning algorithms
ML algorithm | Accuracy | Precision | Recall | Specificity | F-Measure | F.a. r | p-value | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
b.p | a.p | b.p | a.p | b.p | a.p | b.p | a.p | b.p | a.p | |||
Decision tree | 0.761 | 0.958 | 0.564 | 0.961 | 0.534 | 0.903 | 0.906 | 0.982 | 0.547 | 0.922 | 2.04 | 0.0091 |
SVM | 0.457 | 0.821 | 0.287 | 0.743 | 0.412 | 0.792 | 0.375 | 0.921 | 0.336 | 0.767 | 4 | 0.0001 |
KNN | 0.526 | 0.941 | 0.462 | 0.942 | 0.485 | 0.765 | 0.912 | 0.961 | 0.471 | 0.823 | 2.201 | 0.0063 |
Proposed model | 0.782 | 0.9705 | 0.8064 | 0.9729 | 0.8333 | 0.9863 | 0.7 | 0.9259 | 0.8196 | 0.9795 | 2.187 | 0.0065 |