Journal of Big Data

Table 3 Algorithm parameters

From: Machine learning-based identification of patients with a cardiovascular defect

Parameters	XGBoost	AdaBoost	Gradient Boost	Extra Trees	LightGbm	SGDC	Nu svc
Learning rate	0.1	1	1		0.009	adaptative
Number of estimators	100	50	3	80	1000
Loss	deviance					log
Objective					binary
Number of pass training						1000
Fraction of margin error							0.25
kernel							RBF

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