Skip to main content

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