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statistical-power-analysis

topic1 events
papersSEP 10 04:00 UTC

Statistical Method Proposed for Determining Sample Sizes in Machine Learning Prediction Models

Researchers have introduced a statistical framework for estimating how much data is needed to train machine learning prediction models. The approach addresses a key limitation of conventional power analysis, which normally requires the predictor-outcome relationship and effect structure to be defined in advance—something that is impractical for nonlinear models that learn complex patterns from data. The work appears in a new arXiv preprint filed under both artificial intelligence and machine learning categories.

machine-learning/statistics/methodology/research