Table 2 Experiment 2: COVID-19 vs malignant lung nodules-different performance metrics for different classifiers obtained on the test data set.
Classifiers | Accuracy | Sensitivity | Specificity | Precision | F1_score |
|---|---|---|---|---|---|
Nearest neighbours | 0.688 | 0.40 | 0.82 | 0.50 | 0.44 |
Linear SVM | 0.733 | 0.20 | 1.00 | 1.00 | 0.33 |
RBF SVM | 0.650 | 0.17 | 0.91 | 0.50 | 0.25 |
Decision tree | 0.750 | 0.60 | 0.82 | 0.60 | 0.60 |
Random forest | 0.688 | 0.40 | 0.82 | 0.50 | 0.44 |
AdaBoost | 0.650 | 0.50 | 0.73 | 0.50 | 0.50 |
Naive Bayes | 0.625 | 0.80 | 0.55 | 0.44 | 0.57 |
LDA | 0.800 | 0.60 | 0.90 | 0.75 | 0.67 |
QDA | 0.670 | 0.40 | 0.80 | 0.50 | 0.44 |
MLP classifier | 0.86 | 0.86 | 0.90 | 0.86 | 0.86 |
