Detecting the Risk of Customer Churn in Telecom Sector: A Comparative Study

Table 1

Configuration space for the hyperparameters of tested ML models.

ML model	Hyperparameter	Type	Search space
RF classifier	n-estimator	Discrete	[10, 100]
	max-depth	Discrete	[5, 50]
	min_samples_split	Discrete	[2, 11]
	min_samples_leaf	Discrete	[1, 11]
	criterion	Categorical	[“gini,” “entropy”]
	max_features	Discrete	[1, 20]
	C	Continuous	[0.1, 50]
SVM classifier	kernel	Categorical	[“linear,” “poly,” “rbf,” “sigmoid”]
KNN classifier	n_neighbors	Discrete	[1, 20]