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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Vydané v:	Electronics (Basel) Ročník 10; číslo 16; s. 1973
Hlavný autor:	Soper, Daniel S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 16.08.2021
Predmet:	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
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