地球资源数据云——数据资源详情
探索性数据分析/数据可视化
该数据集《Exploratory data analysis/Data visualization》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：CardioGoodFitness - Case study 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：CardioGoodFitness.csv。 Description: This dataset contains customer treadmill purchase information Objective: To explore the dataset to identify differences between customers of each product. Data fields: Product - the model no. of the treadmill Age - in no of years, of the customer Gender - of the customer Education - in no. of years, of the customer Marital Status - of the customer Usage - Avg. # times the customer wants to use the treadmill every week Fitness - Self rated fitness score of the customer (5 - very fit, 1 - very unfit) Income - of the customer Miles - expected to run
摘要概览
该数据集《Exploratory data analysis/Data visualization》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：CardioGoodFitness - Case study
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：CardioGoodFitness.csv。
Description: This dataset contains customer treadmill purchase information
Objective: To explore the dataset to identify differences between customers of each product.
Data fields: Product - the model no. of the treadmill Age - in no of years, of the customer Gender - of the customer Education - in no. of years, of the customer Marital Status - of the customer Usage - Avg.
# times the customer wants to use the treadmill every week Fitness - Self rated fitness score of the customer (5 - very fit, 1 - very unfit) Income - of the customer Miles - expected to run