A Feature Selection Approach Based on Interclass and Intraclass Relative Contributions of Terms

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/cin/volume-2016/1715780/figures/1715780.fig.003a.svgz" name="1715780.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Precision</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/cin/volume-2016/1715780/figures/1715780.fig.003b.svgz" name="1715780.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Recall</td></tr></table>

<div>Precision and recall performance on the SougouCS corpus.</div>

Computational Intelligence and Neuroscience

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Figure 3

Figure 3: A Feature Selection Approach Based on Interclass and Intraclass Relative Contributions of Terms 