Table 6 The accuracy report of Covid-19 and normal CXR image detection using [44] 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) | 76.68 | 100 | 76.68 | 86.80 |
Decision tree (DT) | 98.46 | 100 | 98.03 | 99 |
Naive Bayes (NB) | 98.46 | 100 | 98.03 | 99 |
k Nearest nearbor (KNN) | 98.46 | 100 | 98.03 | 99 |
Support vector machines (SVM) | 76.68 | 100 | 76.68 | 86.80 |