Research Article
Diagnosis of Chronic Kidney Disease Using Effective Classification Algorithms and Recursive Feature Elimination Techniques
Table 4
The importance of predictive variables in diagnosing CKD.
| Features | Priority ratio (%) |
| al | 17.99 | hemo | 14.34 | pcv | 12.91 | sc | 12.09 | rc | 7.51 | bu | 6.56 | sg | 6.08 | pcv | 5.60 | htn | 4.64 | bgr | 3.48 | dm | 3.20 | pe | 1.25 | wc | 1.01 | sod | 0.92 | rbc | 0.91 | bp | 0.39 | su | 0.35 | appet | 0.28 | ba | 0.18 | age | 0.18 | cad | 0.09 | pcc | 0.06 | pot | 0.00 | ane | 0.00 |
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