Table 5.
The feature importance calculated by using data from March 1 to September 30
| No. | Features | Gain of XGB | Mean magnitude of SHAP values |
|---|---|---|---|
| 1 | Temperature | 146.9716 | 1.3928 |
| 2 | Age 65+ | 82.3948 | 1.0826 |
| 3 | Pollution | 117.6348 | 0.7934 |
| 4 | Sex Ratio | 71.3326 | 0.7878 |
| 5 | Hospital Beds | 86.3513 | 0.5321 |
| 6 | Physicians | 59.3828 | 0.3353 |
| 7 | Flu Deaths | 70.7815 | 0.3350 |
| 8 | Pop Density | 24.6166 | 0.3278 |
| 9 | Smoking Rate | 38.8826 | 0.2811 |
| 10 | Income | 54.6326 | 0.2498 |
| 11 | Urban | 57.2029 | 0.1965 |
| 12 | Health Spending | 30.7574 | 0.1560 |
| 13 | Major Airports | 21.3473 | 0.1254 |
| 14 | Unemployment | 34.6735 | 0.1231 |
| 15 | GDP | 42.9217 | 0.0892 |
| 16 | Respiratory Deaths | 51.7551 | 0.0883 |
| 17 | Public Transportation | 76.4803 | 0.0460 |