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    </tabi:metadata><link rel="extra-stylesheet" href="/skins/mathias.css?h=2db8b2e5d8fe50c7b930" /><title>mathias kindberg - customer cases</title>
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    <generator uri="https://www.getzola.org/">Zola</generator><updated>2025-10-09T00:00:00+00:00</updated><id>/tags/customer-cases/atom.xml</id><entry xml:lang="en">
        <title>Cracking highly imbalanced datasets using mondrian conformal predictors</title>
        <published>2025-10-09T00:00:00+00:00</published>
        <updated>2025-10-09T00:00:00+00:00</updated>
        <author>
            <name>mathiaskindberg</name>
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        <summary type="html">Recently, a customer offering a subscription service approached us with a churn case. The problem with churn cases is that the dataset tends to become highly imbalanced when we lower the time steps.</summary>
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