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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