Rekodi ya ushahidi wa mbinu

Conformal Prediction

Conformal Prediction is a distribution-free framework for constructing statistically valid prediction sets (for classification) or prediction intervals (for regression) around the output of any pre-trained machine learning model. Introduced by Vovk, Gammerman, and Shafer in their 2005 monograph, it provides a finite-sample marginal coverage guarantee — the true label falls inside the prediction set with at least 1-alpha probability — without requiring parametric assumptions about the data distribution.

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Conformal Prediction (Distribution-Free Prediction Sets)

Rekodi ya mbinu ya kiajenda · ml-model / machine-learning

Vovk, V., Gammerman, A., & Shafer, G. (2005). Algorithmic Learning in a Random World. Springer. · ISBN 978-0-387-00152-4

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Taxonomic bucketModel Calibrationmachine-suggested · Relational suggestion, not evidence.See alsoUncertainty Quantificationmachine-suggested · Relational suggestion, not evidence.