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Power Simulations for Machine-learning Modeling
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Topic

Power calculation

Power and sample size requirements are part of randomized controlled studies

Setup

UniBas

Part of the University of Basel research on Economic Psychology

Design

R

Realized in R-Statistics

Power Simulations for Machine-learning Modeling

A roadmap for obtaining the required sample size for mathematical and machine-learning data modelers.

Sample size and power calculation are crucial steps in statistical design planning and randomized controlled experimental planning. Obtaining sample sizes for fitting and testing algorithmic machine-learning models poses a new set of challenges for sample size planning. We have written a framework for sample size planning in these cases.

You can read the scientific paper in Computational Brain & Behavior.