数据挖掘--R语言--口红销量分析

上传者: mr_muli | 上传时间: 2019-12-21 20:20:59 | 文件大小: 4.29MB | 文件类型: zip
从网站爬取口红销售数据,分析影响销售数据的重要因素以及根据销售因素建模预测其销售量。 本文先将数据进行预处理得到实验数据, 然后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。 通过实验结果表明总评价数、 价格和描述分这三个因素对销售量的影响较大,对三个算法对比分析得出随机森林算法预测错误率最低,有较好的预测效果。

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