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Construction of College Chinese Blended Teaching Mode Based on Decision Tree Classification Model in New Media Context

Based on the context of new media and big data, this article uses the decision tree classification model to construct the college Chinese hybrid teaching mode. In order to verify the accuracy of ID3 algorithm prediction, the comparison of the ID3 algorithm, K-means algorithm, and support vector mach...

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Detalles Bibliográficos
Autor principal: Huang, Pingge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529451/
https://www.ncbi.nlm.nih.gov/pubmed/36199966
http://dx.doi.org/10.1155/2022/4608631
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author Huang, Pingge
author_facet Huang, Pingge
author_sort Huang, Pingge
collection PubMed
description Based on the context of new media and big data, this article uses the decision tree classification model to construct the college Chinese hybrid teaching mode. In order to verify the accuracy of ID3 algorithm prediction, the comparison of the ID3 algorithm, K-means algorithm, and support vector machine classification algorithm was made, and the experimental results show that the ID3 decision tree classification algorithm has better prediction and classification ability, for the construction of college Chinese hybrid teaching mode provides certain practical value and reference basis.
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spelling pubmed-95294512022-10-04 Construction of College Chinese Blended Teaching Mode Based on Decision Tree Classification Model in New Media Context Huang, Pingge Comput Intell Neurosci Research Article Based on the context of new media and big data, this article uses the decision tree classification model to construct the college Chinese hybrid teaching mode. In order to verify the accuracy of ID3 algorithm prediction, the comparison of the ID3 algorithm, K-means algorithm, and support vector machine classification algorithm was made, and the experimental results show that the ID3 decision tree classification algorithm has better prediction and classification ability, for the construction of college Chinese hybrid teaching mode provides certain practical value and reference basis. Hindawi 2022-09-26 /pmc/articles/PMC9529451/ /pubmed/36199966 http://dx.doi.org/10.1155/2022/4608631 Text en Copyright © 2022 Pingge Huang. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Huang, Pingge
Construction of College Chinese Blended Teaching Mode Based on Decision Tree Classification Model in New Media Context
title Construction of College Chinese Blended Teaching Mode Based on Decision Tree Classification Model in New Media Context
title_full Construction of College Chinese Blended Teaching Mode Based on Decision Tree Classification Model in New Media Context
title_fullStr Construction of College Chinese Blended Teaching Mode Based on Decision Tree Classification Model in New Media Context
title_full_unstemmed Construction of College Chinese Blended Teaching Mode Based on Decision Tree Classification Model in New Media Context
title_short Construction of College Chinese Blended Teaching Mode Based on Decision Tree Classification Model in New Media Context
title_sort construction of college chinese blended teaching mode based on decision tree classification model in new media context
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529451/
https://www.ncbi.nlm.nih.gov/pubmed/36199966
http://dx.doi.org/10.1155/2022/4608631
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