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Table 2 Overview of all parameters used in hyperparameter tuning (HT) with their respective values

From: Identification of risk factors for involuntary psychiatric hospitalization: using environmental socioeconomic data and methods of machine learning to improve prediction

Parameter Values
Maximum depth of the tree 3, 4, 5, 6, 7, 8
Minimum number of cases per groups 25, 50, 75, 100, 125
Minimum number of cases per split 50, 100, 150, 200, 250
Minimum impurity decrease .0001, .001, .01, .1, 0