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

Table 10

The best values of ML’s parameters which are applied to full features.

Model	Parameters	Values
DT	Impurity	Gini
	maxDepth	4
	maxBins	10
RF	Impurity	Gini
	maxDepth	7
	maxBins	32
LR	regParam	0.3
	maxIter	10
SVM	regParam	0.01
	maxIter	1000
NB	Smoothing	0.2
GBT Classifier	maxDepth	2
	maxBins	60