Research Article
Optimal Diagnosis of COVID-19 Based on Convolutional Neural Network and Red Fox Optimization Algorithm
Table 2
The feature extraction of the testing data.
| # | | | | | |
| 1 | 0.812 | 0.066 | 0.802 | 0.051 | 0.286 | 2 | 0.761 | 0.057 | 0.873 | 0.015 | 0.329 | 3 | 0.804 | 0.040 | 0.847 | 0.053 | 0.353 | 4 | 0.842 | 0.032 | 0.806 | 0.022 | 0.211 | 5 | 0.767 | 0.030 | 0.672 | 0.017 | 0.412 | 6 | 0.659 | 0.034 | 0.789 | 0.033 | 0.400 | 7 | 0.783 | 0.019 | 0.906 | 0.064 | 0.336 | 8 | 0.702 | 0.026 | 0.843 | 0.040 | 0.438 | 9 | 0.635 | 0.037 | 0.822 | 0.052 | 0.452 | 10 | 0.736 | 0.072 | 0.946 | 0.082 | 0.369 |
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