Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark

Table 5

The best values of ML’s parameters are applied to the features selected by chi-square.

Model	Parameters	Values
DT	Impurity	Gini
	maxDepth	3
	maxBins	10
RF	Impurity	Gini
	maxDepth	6
	maxBins	32
LR	regParam	0.8
	maxIter	20
SVM	regParam	0.01
	maxIter	100
NB	Smoothing	0.2
GBT Classifier	maxDepth	2
	maxBins	60