Self-Adaptive MOEA Feature Selection for Classification of Bankruptcy Prediction Data

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="314728.fig.006a" src="https://static.hindawi.com/articles/tswj/volume-2014/314728/figures/314728.fig.006a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Experiment 5</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="314728.fig.006b" src="https://static.hindawi.com/articles/tswj/volume-2014/314728/figures/314728.fig.006b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Experiment 6</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="314728.fig.006c" src="https://static.hindawi.com/articles/tswj/volume-2014/314728/figures/314728.fig.006c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Experiment 7</td></tr></table></td></tr></table>

<table>Optimal Pareto fronts for Diane 2005 data (10 runs).</table>

The Scientific World Journal

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Figure 6

Figure 6: Self-Adaptive MOEA Feature Selection for Classification of Bankruptcy Prediction Data 