Research Article
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 |
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