地球资源数据云——数据资源详情
汽车可接受性分类数据集
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]
摘要概览
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]