Improving an Intelligent Detection System for Coronary Heart Disease Using a Two-Tier Classifier Ensemble

Table 10

Comparison of the proposed method with some prior studies using the Cleveland dataset (the best value is indicated in bold).

Study	Technique	# of features	Validation method	Accuracy (%)	(%)	AUC (%)	Statistical test
[13]	Rotation forest-J48-CFS	7	10CV	84.48	Not reported	89.5	No
[14]	PSO fuzzy expert systems	76	Hold-out	93.27	Not reported	Not reported	No
[15]	SMO-expert-based feature selection	8	10CV	84.49	86.2	Not reported	No
[19]	CFS-PSO-clustering-MLP	5	10CV	90.28	Not reported	Not reported	No
[22]	Logistic regression-LASSO	6	10CV	89	Not reported	Not reported	No
[24]	Boosted-C5.0 and neural network	12	10CV	77.8 & 81.9	Not reported	Not reported	Paired test
[9]	Voting-naive Bayes-logistic regression	9	10CV	87.41	Not reported	Not reported	No
This paper	Two-tier ensemble PSO-based feature selection	7	10CV	85.71	86.49	85.86	Two-step statistical test