Correlation-Based Ensemble Feature Selection Using Bioinspired Algorithms and Classification Using Backpropagation Neural Network

Table 14

Performance comparison of proposed work with other classifiers for Hepatitis dataset.

Measure	Naive Bayes	J48	Decision table	AdaBoostMI	Multilayer; Perceptron	Random forest	Proposed work
Accuracy	0.8387	0.8064	0.7806	0.8064	0.8452	0.8323	0.93902
Precision	0.8450	0.7980	0.7810	0.7980	0.8390	0.8250	0.95121
Sensitivity	0.8390	0.8060	0.7810	0.9417	0.8450	0.8819	0.92857
Specificity	0.9083	0.8661	0.8618	0.8661	0.8898	0.8320	0.95