Modelling Tinnitus Functional Index reduction using supervised machine learning algorithms

Edmund Fosu Agyemang

Statistics in Transition new series vol.25, 2024, 4, Modelling Tinnitus Functional Index reduction using supervised machine learning algorithms, DOI https://doi.org/10.59139/stattrans-2024-003, Edmund Fosu Agyemang

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Year of publication:	2024
Authors:	Agyemang, Edmund Fosu
Published in:	Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland. - Warszawa : GUS, ISSN 2450-0291, ZDB-ID 2235641-1. - Vol. 25.2024, 4, p. 51-77
Subject:	Tinnitus \| K-Nearest Neighbor regression \| Ridge regression \| Lasso regression \| multiple linear regression \| Regressionsanalyse \| Regression analysis \| Schätztheorie \| Estimation theory \| Künstliche Intelligenz \| Artificial intelligence \| Algorithmus \| Algorithm