Tuning Expert Systems for Cost-Sensitive Decisions

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="587285.fig.008a" src="https://static.hindawi.com/articles/aai/volume-2011/587285/figures/587285.fig.008a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Weight Ratio below 1 : 3</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="587285.fig.008b" src="https://static.hindawi.com/articles/aai/volume-2011/587285/figures/587285.fig.008b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Weight Ratio between 1 : 3 and 3 : 1</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="587285.fig.008c" src="https://static.hindawi.com/articles/aai/volume-2011/587285/figures/587285.fig.008c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Weight Ratio over 3 : 1</td></tr></table></td></tr></table>

<table>Expected Misclassification costs of original and tuned expert systems.</table>

Advances in Artificial Intelligence

Tuning Expert Systems for Cost-Sensitive Decisions

Figure 8