Research Article
Diagnosis of Chronic Kidney Disease Using Effective Classification Algorithms and Recursive Feature Elimination Techniques
Table 2
Statistical analysis of the dataset of numerical features.
| Features | Mean | Standard deviation | Max | Min |
| Age | 51.483 | 17.21 | 90 | 2 | Blood glucose random | 148.037 | 76.583 | 490 | 22 | Serum creatinine | 3.072 | 4.512 | 76 | 0.4 | Blood pressure | 76.469 | 13.756 | 180 | 50 | Blood urea | 57.426 | 49.987 | 391 | 1.5 | Potassium | 4.627 | 2.92 | 47 | 2.5 | Packed cell volume | 38.884 | 8.762 | 54 | 9 | Sodium | 137.529 | 9.908 | 163 | 4.5 | Hemoglobin | 12.526 | 2.815 | 17.8 | 3.1 | White blood cell count | 8406.12 | 2823.35 | 26400 | 2200 | Red blood cell count | 4.707 | 0.89 | 8 | 2.1 |
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