Geodesic
Research of the performance of machine learning algorithms in data classification problems
Problemy fiziki, matematiki i tehniki, no. 4 (2023), pp. 94-102

Voir la notice de l'article provenant de la source Math-Net.Ru

An approach to solving the problem of constructing machine learning models in solving data classification problems is proposed. Using the example of analyzing biomedical data sets, the performance of machine learning algorithms tuned using pre-optimized hyperparameters is compared. The best values of hyperparameters that provide effective prediction were found for the most common machine learning algorithms.
Keywords: machine learning, data classification, hyperparameter optimization, big data processing, disease prediction. 
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     author = {E. V. Timoschenko and A. F. Razhkov},
     title = {Research of the performance of machine learning algorithms in data classification problems},
     journal = {Problemy fiziki, matematiki i tehniki},
     pages = {94--102},
     publisher = {mathdoc},
     number = {4},
     year = {2023},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/PFMT_2023_4_a15/}
}
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E. V. Timoschenko; A. F. Razhkov. Research of the performance of machine learning algorithms in data classification problems. Problemy fiziki, matematiki i tehniki, no. 4 (2023), pp. 94-102. http://geodesic.mathdoc.fr/item/PFMT_2023_4_a15/