Research Article
Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease
Table 5
The attribute set with their data types.
| # | Attributes | Full form | Data type | Nonempty value | Missing values |
| 0 | age | Age | float64 | 400 | 0 | 1 | bp | Blood pressure | float64 | 400 | 0 | 2 | sg | Specific gravity of urine | float64 | 400 | 0 | 3 | al | Level of aluminum | float64 | 400 | 0 | 4 | su | Sugar level | float64 | 400 | 0 | 5 | bgr | Blood glucose random | float64 | 400 | 0 | 6 | bu | Blood urea | float64 | 400 | 0 | 7 | sc | Sugar level | float64 | 400 | 0 | 8 | sod | Amount of sodium | float64 | 400 | 0 | 9 | pot | Amount of potassium | float64 | 400 | 0 | 10 | hemo | Hemoglobin | float64 | 400 | 0 | 11 | pcv | Packed cell volume | float64 | 400 | 0 | 12 | wc | White cell | float64 | 400 | 0 | 13 | rc | Red cell | float64 | 400 | 0 |
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