Tree retraining in the decision tree learning algorithm : доклад, тезисы доклада

Mitrofanov S A; Semenkin E S

Дополнительные ссылки: eLibrary · Источник статьи

База данных: Каталог библиотеки СФУ

Библиографическое описание: Tree retraining in the decision tree learning algorithm : доклад, тезисы доклада / S. A. Mitrofanov, E. S. Semenkin. - [S. l. : s. n.], 2021. - Текст : непосредственный // IOP Conference Series: Materials Science and Engineering / Krasnoyarsk Science and Technology City Hall. ; III International Conference on Advanced Technologies in Aerospace, Mechanical and Automation Engineering - MIST: Aerospace-III-2020; 9-th International Workshop on Mathematical Models and their Applications (IWMMA-2020) (2020 ; 20.11 - 21.11 ; Krasnoyarsk). - Krasnoyarsk, Russian Federation : IOP Publishing Ltd, 2021. - 1047. - P. 12082. - DOI 10.1088/1757-899X/1047/1/012082.

Аннотация: Decision trees belong to the most effective classification methods. The main advantage of decision trees is a simple and user-friendly interpretation of the results obtained. But despite its well-known advantages the method has some disadvantages as well. One of them is that decision tree learning algorithm build an “almost optimal” tree. The paper considers the way to improve the efficiency of decision trees. The paper proposes a modification of decision tree learning algorithms by retraining the part of tree at every node training. The classification problems were solved to compare standard decision tree learning algorithms with the modified ones. Algorithm efficiency refers to the percentage of correctly classified test sample objects. Statistical analysis based on Student's t-test was carried out to compare the efficiency of the algorithms.

Год издания: 2021

Авторы: Mitrofanov S A , Semenkin E S

Издательство: IOP Publishing Ltd, Krasnoyarsk, Russian Federation

Источник: IOP Conference Series: Materials Science and Engineering

Выпуск: 1047

Мероприятие: III International Conference on Advanced Technologies in Aerospace, Mechanical and Automation Engineering - MIST: Aerospace-III-2020; 9-th International Workshop on Mathematical Models and their Applications (IWMMA-2020) (Krasnoyarsk, 2020 ; 20.11 - 21.11)

Номера страниц: 12082

Держатель оригинала документа: Reshetnev Siberian State University of Science and Technology

Количество экземпляров:

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