Table 4 The accuracy report of Covid-19 and pneumonia diseases classification using [16] dataset
From: COVID-19 detection from chest X-ray images using CLAHE-YCrCb, LBP, and machine learning algorithms
Classifiers | Accuracy (%) | Precision | Recall | F1-score |
|---|---|---|---|---|
Logistic regression (LR) | 58.50 | 0 | 0 | – |
Decision tree (DT) | 98.9 | 97.56 | 100 | 97.56 |
k Nearest neighbor (KNN) | 97.9 | 95.12 | 100 | 97.4 |
Naive Bayes (NB) | 98.9 | 97.56 | 100 | 97.56 |
Support vector machines (SVM) | 58.5 | 0 | 0 | – |