A Wrapper Based Binary Shuffled Frog Algorithm for Efficient Classification of Mammograms

Conclusion: The work focuses on improving classification performance through feature selection. The experimental results demonstrate the efficacy of the proposed feature selection method. It is observed that the feature selectors are necessary to improve the efficiency of the classifiers. It is observed that among the various classification techniques, C4.5 outperforms other algorithms achieving the highest accuracy.
Source: Current Signal Transduction Therapy - Category: Molecular Biology Source Type: research