System for automatic, simultaneous feature selection and hyperparameter tuning for a machine learning model

A computing device selects a feature set and hyperparameters for a machine learning model to predict a value for a characteristic in a scoring dataset. A number of training model iterations is determined. A unique evaluation pair is selected for each iteration that indicates a feature set selected f...

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Bibliographische Detailangaben

Hauptverfasser:	Sglavo, Udo, Czika, Wendy Ann, Gunes, Funda, Haller, Susan Edwards
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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