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

Table 15

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

Measure	Naive Bayes	J48	Decision table	AdaBoostMI	Multilayer perceptron	Random forest	Proposed work
Accuracy	0.9297	0.9312	0.9350	0.9472	0.9630	0.9666	0.98734
Precision	0.9300	0.9320	0.9350	0.9470	0.9630	0.9670	0.98305
Sensitivity	0.9300	0.9310	0.9350	0.9417	0.9630	0.9670	0.99145
Specificity	0.8716	0.8950	0.9268	0.9470	0.9569	0.9707	0.98333