<h1>crossvalidated.com</h1>

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<p><strong>Definition:</strong> <a href="http://en.wikipedia.org/wiki/Cross-validation_(statistics)" rel="nofollow noreferrer">Cross validation</a> is a technique to guard against <a href="http://en.wikipedia.org/wiki/Overfitting" rel="nofollow noreferrer">overfitting</a> when optimizing a model, which involves using test and training subsets of data, and analyzing the same dataset repeatedly.  </p>

<p><strong>Meta interpretation:</strong> Our site allows the community to provide a range of answers and the best answer is then 'crossvalidated' by voting.</p>

<p><strong>Related stats questions:</strong> <a href="https://stats.stackexchange.com/questions/1826/cross-validation-in-plain-english">1</a> <a href="https://stats.stackexchange.com/questions/2306/feature-selection-for-final-model-when-performing-cross-validation-in-machine-l">2</a></p>

<p><strong>Logo idea (mbq):</strong>  </p>

<p><img src="https://i.stack.imgur.com/sekDy.png" alt="alt text"></p>
