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I Dropped 13 Features Because They Didn't Correlate With the Target - That Was a Mistake

An earlier churn-prediction project of mine hit a data-quality snag partway through: 33% of rows had a missing value somewhere across the dataset's 20 columns. My fix at the time was to cut the feature set down to just 6 columns - the ones with the highest individual correlation to churn which brou…

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  1. 2026-09-28 18:31 · DEV Community — Machine Learning
    I Dropped 13 Features Because They Didn't Correlate With the Target - That Was a Mistake

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