Fig. 5From: Machine learning-enhanced echocardiography for screening coronary artery diseaseTesting 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 XgboostBack to article page