Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic review

Abstract

Studies developing a prediction model using ML in oncology seldom justified their sample size and sample sizes were often smaller than N_min. As ML models almost certainly require a larger sample size than regression models, the deficit is likely larger. We recommend that researchers consider and report their sample size and at least meet the minimum sample size required when developing a regression-based model.

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