[Retracted] Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier

Table 7

Classification results with Cleveland Heart Disease dataset.

Methodology adopted	Accuracy (%)	Sensitivity (%)	Specificity (%)	Selected features
C4.5 [31]	81.11	77.23	76.58	All
Naive Bayes [31]	81.48	80.97	81.22	3, 9, 11, 12
BNND [31]	81.11	82.13	80.42	3, 11, 12
BNNF [31]	80.96	76.93	75.81	3, 8, 9, 11, 12
AIRS [24]	84.50	75.34	72.96	All
Hybrid neural network [26]	87.40	93.00	78.50	3, 8, 9, 10, 11, 12
Neural networks ensemble [25]	89.01	80.95	95.91	All
Mean selection method [16]	81.75	82	82	3, 8, 9, 11, 12, 13
Half selection method [16]	83.44	84	83	3, 8, 9, 10, 11, 12, 13
Neural network for threshold selection [16]	84.46	82	82	3, 12, 13
PSO + ELM	89.47	94.49	96.02	9, 10, 11, 12, 13
Proposed SRLPSO + ELM	91.33	95.46	97.29	11, 12, 13