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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2022
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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. |
format | Online Article Text |
id | pubmed-9529451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT huangpingge constructionofcollegechineseblendedteachingmodebasedondecisiontreeclassificationmodelinnewmediacontext |