Table 1 Relevance of each feature based on ReliefF algorithm
From: Differentiating novel coronavirus pneumonia from general pneumonia based on machine learning
| Feature | Relevance | Feature | Relevance | Feature | Relevance | Feature | Relevance | Feature | Relevance |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 0.0421 | 8 | 0.1329 | 15 | 0.0043 | 22 | 0.1348 | 29 | 0.1250 |
| 2 | 0.1036 | 9 | 0.1338 | 16 | 0.0687 | 23 | 0.1257 | 30 | 0.1025 |
| 3 | 0.0050 | 10 | 0.1059 | 17 | 0.0548 | 24 | 0.1170 | 31 | 0.1490 |
| 4 | 0.0178 | 11 | 0.0582 | 18 | 0.1604 | 25 | 0.1574 | 32 | 0.1250 |
| 5 | 0.0032 | 12 | 0.0360 | 19 | 0.1574 | 26 | 0.2267 | 33 | 0.0389 |
| 6 | 0.1434 | 13 | 0.0163 | 20 | 0.2561 | 27 | 0.2977 | 34 | 0.0963 |
| 7 | 0.1036 | 14 | 0.1184 | 21 | 0.1469 | 28 | 0.2094 |