Research Article
Machine Learning Model for Imbalanced Cholera Dataset in Tanzania
Table 3
Statistical data description of cholera cases using count, mean, std, min, max, and percentile.
| ā | count | mean | std | min | 25% | 50% | 75% | max |
| Rainfall | 2951 | 1.962 | 7.518 | 0 | 0 | 0 | 0.2 | 105.1 | Temp_max | 2951 | 31.343 | 1.816 | 0 | 30 | 31.1 | 32.7 | 36.3 | Temp_min | 2951 | 22.496 | 2.505 | 0 | 21 | 21.4 | 24.2 | 28.8 | Temp_mean | 2951 | 26.92 | 1.854 | 0 | 25.5 | 26.7 | 28.2 | 31.55 | Temp_range | 2951 | 8.847 | 2.323 | 0 | 7.5 | 9 | 10.4 | 16.4 | Humidity | 2951 | 78.835 | 5.2 | 0 | 75 | 78 | 81 | 97 | Wind_Dir | 2951 | 117.32 | 91.23 | 0 | 50 | 120 | 160 | 360 | Wind_Spd | 2951 | 5.33 | 3.706 | 0 | 3 | 5 | 8 | 18 | result | 2951 | 0.07 | 0.255 | 0 | 0 | 0 | 0 | 1 |
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