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

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Abstract

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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APA

Huang, P. (2022). Construction of College Chinese Blended Teaching Mode Based on Decision Tree Classification Model in New Media Context. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/4608631

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