地球资源数据云——数据资源详情
该数据集《Bike Buyers 1000》主要用于监督学习任务,数据形态以表格为主,应用场景偏向交通/汽车。 题目说明:Data of 1000 rows with details of bike buyers with a categorical output variable 任务类型:表格监督学习。 建议流程:先做缺失值/异常值处理与特征编码,再比较逻辑回归、随机森林、XGBoost。 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:bike_buyers.csv, bike_buyers_clean.csv。 Bike Buyers Dataset for Exploratory Data Analysis This dataset has details of 1000 users from different backgrounds and whether or not they buy a bike. This data can be used for prediction models using Machine Learning Algorithms. There are some NA values injected in the dataset. Use this dataset for Data Cleaning, Exploration and Visualization. Columns - ID Marital Status

该数据集《Bike Buyers 1000》主要用于监督学习任务,数据形态以表格为主,应用场景偏向交通/汽车。 题目说明:Data of 1000 rows with details of bike buyers with a categorical output variable
任务类型:表格监督学习。
建议流程:先做缺失值/异常值处理与特征编码,再比较逻辑回归、随机森林、XGBoost。
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:bike_buyers.csv, bike_buyers_clean.csv。
Bike Buyers Dataset for Exploratory Data Analysis
This dataset has details of 1000 users from different backgrounds and whether or not they buy a bike. This data can be used for prediction models using Machine Learning Algorithms. There are some NA values injected in the dataset. Use this dataset for Data Cleaning, Exploration and Visualization.
Columns -
ID
Marital Status