Fig. 5
From: Machine learning-enhanced echocardiography for screening coronary artery disease
Testing accuracy of 18 classifiers using different feature combinations. The increased accuracy and superior performance (over 80% accuracy) were observed by the methods of catBoost, extra tree, gradient boosting, light gradient boosting, random forest, and Xgboost