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Title: Activity · leeeric9527/data-mining-R · GitHub

Open Graph Title: Activity · leeeric9527/data-mining-R

X Title: Activity · leeeric9527/data-mining-R

Description: 利用R语言编写的数据挖掘大作业。着重分析朴素贝叶斯判别分析算法、 AdaBoost 算法以及随机森林算法在口红销量预测中的效果, 并在随机森林算法中进行模型优化。Using R language data mining big homework. The effects of Naive Bayesian Discriminant Analysis (Naive Bayesian Discriminant Analysis), AdaBoost and Random Forest Algorithms on lipstick sales forecasting were analyzed, and the model was optimized in Random Forest Algorithms. - Activity · leeeric9527/data-mining-R

Open Graph Description: 利用R语言编写的数据挖掘大作业。着重分析朴素贝叶斯判别分析算法、 AdaBoost 算法以及随机森林算法在口红销量预测中的效果, 并在随机森林算法中进行模型优化。Using R language data mining big homework. The effects of Naive Bayesian Discriminant Analysis (Naive Bayesian Discr...

X Description: 利用R语言编写的数据挖掘大作业。着重分析朴素贝叶斯判别分析算法、 AdaBoost 算法以及随机森林算法在口红销量预测中的效果, 并在随机森林算法中进行模型优化。Using R language data mining big homework. The effects of Naive Bayesian Discriminant Analysis (Naive Bayesian Discr...

Opengraph URL: https://github.com/leeeric9527/data-mining-R

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og:image:alt利用R语言编写的数据挖掘大作业。着重分析朴素贝叶斯判别分析算法、 AdaBoost 算法以及随机森林算法在口红销量预测中的效果, 并在随机森林算法中进行模型优化。Using R language data mining big homework. The effects of Naive Bayesian Discriminant Analysis (Naive Bayesian Discr...
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