Table 2 Detailed results of the proposed GraphCovidNet model for all combination of different train-test datasets having same number of classes.
Train data | Test data | Number of classes | Accuracy (%) | Precision (%) | Recall (%) | F1 Score (%) |
|---|---|---|---|---|---|---|
SARS-COV-2 Ct-Scan Dataset | COVID-CT dataset | 2 | 100 | 100 | 100 | 100 |
COVID-CT dataset | SARS-COV-2 Ct-Scan Dataset | 2 | 100 | 100 | 100 | 100 |
covid-chestxray-dataset + Chest X-Ray Images (Pneumonia) dataset | CMSC-678-ML-Project GitHub (3-class) | 3 | 98.78 | 99.02 | 97.98 | 98.54 |
CMSC-678-ML-Project GitHub (3-class) | covid-chestxray-dataset + Chest X-Ray Images (Pneumonia) dataset | 3 | 99.32 | 99.23 | 99.45 | 99.30 |
