Article

Empirical Sample Size Determination for Popular Classification Algorithms in Clinical Research

2024-05-05

Abstract excerpt

<h4>Motivation</h4> The performance of a classification algorithm eventually reaches a point of diminishing returns, where additional sample added does not improve results. Thus, there is a need for determining an optimal sample size that both maximizes performance, while accounting for computational burden or budgetary concerns. <h4>Methods</h4> Sixteen large open-source datasets were collected, each containing a...

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Literature Corpus work: 2b34c7ac-9248-52f7-b9f5-816af1df9154
DOI: 10.1101/2024.05.03.24306846

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