Research Article
Diagnosis of Chronic Kidney Disease Using Effective Classification Algorithms and Recursive Feature Elimination Techniques
Table 3
Statistical analysis of the dataset of nominal features.
| Features | Label | Count |
| Albumin | 0 | 245 | 1 | 44 | 2 | 43 | 3 | 43 | 4 | 24 | 5 | 1 |
| Specific gravity | 1.005 | 7 | 1.01 | 84 | 1.015 | 75 | 1.02 | 153 | 1.025 | 81 |
| Sugar | 0 | 339 | 1 | 13 | 2 | 18 | 3 | 14 | 4 | 13 | 5 | 3 |
| Pus cell | Normal | 324 | Abnormal | 76 |
| Red blood cells | Normal | 353 | Abnormal | 47 |
| Bacteria | Present | 22 | Not present | 378 |
| Pus cell clumps | Present | 42 | Not present | 358 |
| Diabetes mellitus | Yes | 137 | No | 263 |
| Hypertension | Yes | 147 | No | 253 |
| Edema | Yes | 76 | No | 324 |
| Coronary artery disease | Yes | 34 | No | 366 |
| Anemia | Yes | 60 | No | 340 |
| Appetite | Good | 318 | Poor | 82 |
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