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Table 4 Parameter configurations for used machine learning models

From: Examining the empathy levels of medical students using CHAID analysis

Random forest

Decision tree

AdaBoost

MLP

criterion: gini

max depth: 15

min samples leaf: 1

min samples split: 2

n estimators: 50

criterion: gini

max depth: 10

min samples leaf: 1

min samples split: 2

splitter: best

max depth: 2

learning rate: 1.0

n estimators: 150

activation: relu

alpha: 0.0001

hidden layer: (100, 100)

solver: adam