Research Article
Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark
Table 7
The best values of ML’s parameters which are applied to the features selected by Relief-F.
| Model | Parameters | Values |
| DT | Impurity | Gini | maxDepth | 4 | maxBins | 32 |
| RF | Impurity | Gini | maxDepth | 5 | maxBins | 32 |
| LR | regParam | 0.1 | maxIter | 20 |
| SVM | regParam | 0.01 | maxIter | 100 | NB | Smoothing | 0.1 |
| GBT Classifier | maxDepth | 4 | maxBins | 20 |
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