Machine learning approach for predicting cardiovascular disease in Bangladesh: evidence from a cross-sectional study in 2023

Table 2 The values of parameters of some ML Models

Parameters	Used Parameters’ Values of Employed ML Models
Parameters	Decision Tree	Random Forest	Adaboost	Bagging
Criterion	gini	gini
Splitter	best
Max_depth	none	None	1	None
Min_samples_split	2	2
Min_samples_leaf	1	1
Min_weigth_fraction_leaf	0.0	Sum total of weights
Max_features	None	None		1.0
Random_state	x	None	None	42
N_estimators		100	50	10
Base_estimators			DecisionTree	RandomForest
Max_samples				1.0
Oob_score		false		false
bootstrap		true		true
N_jobs		none		none
Algorithm			SAMME
Learning Rate			1

ISSN: 1471-2261