Greed Is Good: Rapid Hyperparameter Optimization and Model Selection Using Greedy k-Fold Cross Validation

Selecting a final machine learning (ML) model typically occurs after a process of hyperparameter optimization in which many candidate models with varying structural properties and algorithmic settings are evaluated and compared. Evaluating each candidate model commonly relies on k-fold cross validat...

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Bibliographic Details

Published in:	Electronics (Basel) Vol. 10; no. 16; p. 1973
Main Author:	Soper, Daniel S.
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 16.08.2021
Subjects:	Algorithms Artificial intelligence Budgets Business metrics Cloud computing Experiments Greedy algorithms Heuristic methods Machine learning Methods Neural networks Optimization Performance evaluation Search methods
ISSN:	2079-9292, 2079-9292
Online Access:	Get full text
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