Research Article
Optimal Diagnosis of COVID-19 Based on Convolutional Neural Network and Red Fox Optimization Algorithm
Table 1
The feature extraction of the training data.
| | # | | | | | |
| | 1 | 0.720 | 0.056 | 0.788 | 0.311 | 0.311 | | 2 | 0.840 | 0.174 | 0.973 | 0.052 | 0.275 | | 3 | 0.832 | 0.039 | 0.889 | 0.029 | 0.295 | | 4 | 0.807 | 0.038 | 0.905 | 0.027 | 0.407 | | 5 | 0.764 | 0.035 | 0.974 | 0.116 | 0.413 | | 6 | 0.836 | 0.064 | 0.897 | 0.010 | 0.228 | | 7 | 0.613 | 0.068 | 0.984 | 0.043 | 0.306 | | 8 | 0.788 | 0.006 | 0.941 | 0.028 | 0.386 | | 9 | 0.612 | 0.073 | 0.986 | 0.030 | 0.319 | | 10 | 0.715 | 0.037 | 0.974 | 0.053 | 0.427 |
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