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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