Research Article
Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark
Table 8
The weights of all features that are selected by Relief-F.
| Features | Weights |
| rbc | 0.455 1 | haem | 0.365 745 | pcv | 0.311 56 | sg | 0.289 825 | htn | 0.275 375 | al | 0.257 775 | dm | 0.240 85 | rc | 0.160 433 | pc | 0.136 225 | sod | 0.104 587 | Age | 0.065 923 | appe | 0.062 875 | pe | 0.056 825 | su | 0.031 65 | bgr | 0.029 549 | ane | 0.027 | bu | 0.022 733 | sc | 0.015 806 | pcc | 0.015 675 | wc | 0.006 426 | ba | −0.000 12 | pot | −0.004 11 | cad | −0.011 97 | bp | −0.015 84 |
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