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As one of the widely used methods to build classifiers, the Na\u00efve Bayes algorithm has become one of the most popular music teaching evaluation methods because of its strong prior knowledge, learning features, and high classification performance. In this article, we propose a music teaching evaluation model based on the weighted Na\u00efve Bayes algorithm. Moreover, a weighted Bayesian classification incremental learning approach is employed to improve the efficiency of the music teaching evaluation system. Experimental results show that the algorithm proposed in this paper is superior to other algorithms in the context of music teaching evaluation.<\/jats:p>","DOI":"10.1155\/2021\/7196197","type":"journal-article","created":{"date-parts":[[2021,9,17]],"date-time":"2021-09-17T18:35:33Z","timestamp":1631903733000},"page":"1-9","source":"Crossref","is-referenced-by-count":27,"title":["Construction of Music Teaching Evaluation Model Based on Weighted Na\u00efve Bayes"],"prefix":"10.1155","volume":"2021","author":[{"given":"Xiongjun","family":"Xia","sequence":"first","affiliation":[{"name":"Hunan Normal University, Changsha, Hunan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6214-5094","authenticated-orcid":true,"given":"Jin","family":"Yan","sequence":"additional","affiliation":[{"name":"Hunan Normal University, Changsha, Hunan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","article-title":"Automatic extraction of music descriptors from acoustic signals","author":"F. 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