Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific Conference on Biotechnology and Food Technology (BFT-2024); Saint Petersburg; Saint Petersburg

Год издания: 2024

Идентификатор DOI: 10.1051/bioconf/202413003002

Аннотация: <jats:p>The paper investigates the application of the decision tree method for analyzing and predicting water quality. The main objective of the study is to identify the key physical and chemical parameters that affect the potability of water. The Decisive Tree Method is used to create a model capable of classifying water as suitabПоказать полностьюle or unsuitable for drinking. The results of the study showed that the decisive trees model achieved an accuracy of 62.03% and F1 Score of 0.5292. The most important parameters affecting the model predictions include sulfate content, pH and water hardness. The error matrix and feature importance plot provided valuable information to further improve the model and understand the effect of different parameters on water quality.</jats:p>

Журнал: BIO WEB OF CONFERENCES

Выпуск журнала: 130

Номера страниц: 03002

Место издания: Les Ulis

• Glinscaya Anna (Bauman Moscow State Technical University (BMSTU))
• Panfilov Ilia (Reshetnev Siberian State University of Science and Technology)
• Kukartsev Anatoliy (Siberian Federal University)
• Suprun Elena (Reshetnev Siberian State University of Science and Technology)
• Boyko Andrey (Reshetnev Siberian State University of Science and Technology)

• Ядро РИНЦ (eLIBRARY.RU)