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在线购物者意图 UCI 机器学习

发布时间：2026-03-17 14:32:12资源ID：2031261821615640578资源类型：免费

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:

在线购物者意图 UCI 机器学习

摘要概览

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: