Coronary Artery Disease Detection Using a Fuzzy-Boosting PSO Approach

Table 6

Comparison between classification algorithms according to accuracy, sensitivity, specificity, and number of rules.

Method	Accuracy	Sensitivity	Specificity	Number of rules
Decision tree [35]	78.91	72.01	84.48	—
LTF-C [36]	81.2	—	—	—
Bagging [35]	81.41	74.93	86.64	—
𝑘-NN [33]	81.5	—	—	—
Bayesian model [37]	82	87	—	—
Decision tree (C4.5) [37]	82.5	87.17	—	—
SVM [37]	82.5	88	—	—
RST [33]	85.2	—	—	27
ANN [38]	85.53	—	—	—
Decision tree [33]	85.6	—	—	83
NN-Alizadeh [15]	85.43	90.2	73.5	—
En-PSO2 (this study)	85.76	90.02	82.31	21.2