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Using machinelearning algorithmsto solve dataclassificationproblems usingmulti-attributedataset Borodulin AlekseyGladkov AlexeyGantimurov Andrei2024 год

Using machine learning algorithms to solve data classification problems using multi-attribute dataset : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи
База данных: Каталог библиотеки СФУ
Библиографическое описание: Using machine learning algorithms to solve data classification problems using multi-attribute dataset : доклад, тезисы доклада / A. A. Borodulin [et al.]. - [S. l. : s. n.], 2024. - Текст : непосредственный // BIO Web of Conferences : International Scientific and Practical Conference “Development and Modern Problems of Aquaculture” (AQUACULTURE 2023) / International Scientific and Practical Conference “Development and Modern Problems of Aquaculture” (AQUACULTURE 2023) (2023 ; 27.09 - 04.10 ; Divnomorskoe) : EDP Sciences, 2024. - 84. - P. 02001-02001. - DOI 10.1051/bioconf/20248402001.
Аннотация: This paper discusses various machine learning techniques such as decision trees, Kohonen maps neural network method, and correlation analysis. The training of neural networks and further comparative analysis was carried out using a real estate price segment classification dataset. The overall quality of the data collected in the dataset was evaluated using the correlation analysis method, while the other methods were used to predict the target variable. The obtained data were summarized in a comparative table. As a result of the work done, a relatively high accuracy was obtained using a large number of parameters in the work of almost all methods, the only exception is the neural network method, which does not work very correctly in the selected software product
Год издания: 2024
Авторы: Borodulin Aleksey, Gladkov Alexey, Gantimurov Andrei, Kukartsev V.V., Evsyukov Dmitriy
Издательство: EDP Sciences
Источник: BIO Web of Conferences
Выпуск: 84
Мероприятие: International Scientific and Practical Conference “Development and Modern Problems of Aquaculture” (AQUACULTURE 2023) (Divnomorskoe, 2023 ; 27.09 - 04.10)
Номера страниц: 02001-02001
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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