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在数据集的12,330个会话中，有84.5％（10,422）是不以购物结束的负面类样本，其余（1908）是以购物结束的正面类样本。包含10个数字属性和8个分类属性。
1. 字段描述
2. 数据预览
3. 字段诊断信息
4. 数据来源
1. C. Okan Sakar Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Bahcesehir University, 34349 Besiktas, Istanbul, Turkey. 2. Yomi Kastro Inveon Information Technologies Consultancy and Trade, 34335 Istanbul, Turkey
5. 数据引用
Sakar C O, Polat S O, Katircioglu M, et al. Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks[J]. Neural Computing and Applications, 2019, 31(10): 6893-6908.
