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Using Artificial Intelligence for Model Selection

Darin Goldstein·William Murray·Binh Yang
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Abstract

We apply the optimization algorithm Adaptive Simulated Annealing (ASA) to the problem of analyzing data on a large population and selecting the best model to predict that an individual with various traits will have a particular disease. We compare ASA with traditional forward and backward regression on computer simulated data. We find that the traditional methods of modeling are better for smaller data sets whereas a numerically stable ASA seems to perform better on larger and more complicated data sets.

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Darin Goldstein, William Murray, Binh Yang. 2003-10-05. Using Artificial Intelligence for Model Selection. https://arxiv.org/abs/cs/0310005

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