地球资源数据云——数据资源详情
该数据集《Car Acceptability Classification Dataset》主要用于多分类任务,数据形态以表格为主,应用场景偏向交通/汽车。 题目说明:Classify a car's acceptability based on certain criteria. 任务类型:表格多分类。 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:car.csv。 Car Acceptability Classification Database was derived from a simple hierarchical decision model originally developed for the demonstration of DEX, M. Bohanec, V. Rajkovic: Expert system for decision making. Sistemica 1(1), pp. 145 - 157, 1990.). The model evaluates cars according to the following concept structure: Car Acceptability Classification Dataset 1. Buying_Price - Categorical Data [vhigh, high, med, low] 2. Maintenance_Price - Categorical Data [vhigh, high, med, low] 3. No_of_Doors - Categorical Data [2, 3, 4, 5more]

该数据集《Car Acceptability Classification Dataset》主要用于多分类任务,数据形态以表格为主,应用场景偏向交通/汽车。 题目说明:Classify a car's acceptability based on certain criteria.
任务类型:表格多分类。
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:car.csv。
Car Acceptability Classification Database was derived from a simple hierarchical decision model originally developed for the demonstration of DEX, M. Bohanec, V. Rajkovic: Expert system for decision making. Sistemica 1(1), pp. 145 - 157, 1990.). The model evaluates cars according to the following concept structure:
Car Acceptability Classification Dataset
1. Buying_Price - Categorical Data [vhigh, high, med, low]
2. Maintenance_Price - Categorical Data [vhigh, high, med, low]
3. No_of_Doors - Categorical Data [2, 3, 4, 5more]
该数据集《Car Acceptability Classification Dataset》主要用于多分类任务,数据形态以表格为主,应用场景偏向交通/汽车。
数据格式为 CSV。
Car Acceptability Classification Database was derived from a simple hierarchical decision model originally developed for the demonstration of DEX, M.
在本页登录后即可下载。建议引用格式:地球资源数据云. 汽车可接受性分类数据集. https://www.gis5g.com/dataset/2031248702348627970