TABLE 5.
Experimental results of the feature set created by concatenating features from three architectures (COVID‐19 image Dataset)
| Feature extractor | Classifier | Acc. (%) | SN (%) | SP (%) | PREC (%) | Time(s) |
|---|---|---|---|---|---|---|
| AlexNet + EfficientNet‐b0 + NASNetLarge | LDA | 98.0 | 99.0 | 100 | 100 | 8.044 |
| SVM | 98.0 | 99.0 | 99.2 | 99.0 | 7.576 | |
| KNN | 94.4 | 95.4 | 100 | 100 | 7.180 | |
| DT | 84.1 | 91.8 | 90.0 | 87.9 | 7.027 | |
| NB | 95.2 | 97.2 | 97.1 | 96.4 | 20.428 | |
| AlexNet + EfficientNet‐b0 + Xception | LDA | 98.4 | 99.0 | 100 | 100 | 8.673 |
| SVM | 98.4 | 99.0 | 100 | 100 | 7.886 | |
| KNN | 96.4 | 97.2 | 100 | 100 | 7.301 | |
| DT | 83.7 | 86.4 | 95.7 | 94.1 | 7.719 | |
| NB | 97.2 | 97.2 | 100 | 100 | 20.97 | |
| EfficientNet‐b0 + NASNetLarge + Xception | LDA | 97.6 | 99.0 | 100 | 100 | 8.830 |
| SVM | 98.0 | 99.0 | 99.2 | 99.0 | 8.057 | |
| KNN | 94.8 | 95.4 | 100 | 100 | 8.360 | |
| DT | 80.5 | 86.4 | 92.8 | 90.5 | 7.560 | |
| NB | 96.0 | 98.1 | 98.5 | 98.1 | 22.17 |