地球资源数据云——数据资源详情
该数据集《Online Shoppers Intention UCI Machine Learning》主要用于监督学习任务,数据形态以图像为主。 题目说明:Online Shopper Intention Dataset from UCI's Machine Learning Library 任务类型:图像监督学习。 建议流程:先检查类别分布与脏样本,再用迁移学习(如 ResNet/EfficientNet)建立基线。 评估建议:使用分层切分或交叉验证,优先关注 F1、Recall、AUC 等分类指标。 可用文件:online_shoppers_intention.csv。 Data Set Information: The dataset consists of feature vectors belonging to 12,330 sessions. The dataset was formed so that each session would belong to a different user in a 1 - year period to avoid any tendency to a specific campaign, special day, user profile, or period. Dataset Origin: https://archive.ics.uci.edu/ml/datasets/Online+Shoppers+Purchasing+Intention+Dataset Source:

该数据集《Online Shoppers Intention UCI Machine Learning》主要用于监督学习任务,数据形态以图像为主。 题目说明:Online Shopper Intention Dataset from UCI's Machine Learning Library
任务类型:图像监督学习。
建议流程:先检查类别分布与脏样本,再用迁移学习(如 ResNet/EfficientNet)建立基线。
评估建议:使用分层切分或交叉验证,优先关注 F1、Recall、AUC 等分类指标。
可用文件:online_shoppers_intention.csv。
Data Set Information:
The dataset consists of feature vectors belonging to 12,330 sessions. The dataset was formed so that each session would belong to a different user in a 1 - year period to avoid any tendency to a specific campaign, special day, user profile, or period.
Dataset Origin:
https://archive.ics.uci.edu/ml/datasets/Online+Shoppers+Purchasing+Intention+Dataset
Source:
该数据集《Online Shoppers Intention UCI Machine Learning》主要用于监督学习任务,数据形态以图像为主。
数据格式为 CSV。
在本页登录后即可下载。建议引用格式:地球资源数据云. 在线购物者意图 UCI 机器学习. https://www.gis5g.com/dataset/2031261821615640578