Table 1.

Machine learning techniques parameters.

ANN		RF
	$nHidden=1$		$nTree=500$
	$sizeHidde{n}_1=25$		$mTry=3$
	$\eta =0.85$		$nodeSize=5$
	$Maxit\left(epochs\right)=$ 50,000		$nPerm=1$
	$learnFunc=Backpropagation$
	$hiddenActFunc=Logistic$
RT		SVM
	$minSplit=10$		$kernel=radialbasis$
	$minBucket=round(minSplit/3)$		$cost=10$
	$cp=0.0000001$		$\gamma =10$
	$maxDepth=30$		$tolerance=0.0001$
			$ϵ=0.0005$