地球资源数据云——数据资源详情
CEO教育影响力
该数据集《CEO education influence》主要用于二分类任务，数据形态以表格为主，应用场景偏向金融风控。 题目说明：Data for econometric analysis of CEO education impact on a company performance 任务类型：表格二分类。 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：未检测到标准 CSV，可优先查看目录中的索引或说明文件。 Dear colleagues! This dataset was collected for my Bachelor Thesis in 2023. Further, it was used for the scientific paper: https://doi.org/10.24891/fc.29.12.2670. It contains information about 76 largest public companies (according to their market capitalization) from 3 macro - regions: the USA, the EU and Russia. The data was collected using parcing techniques from Yahoo Finance. All features are valied for 2021. Columns Name and Region is for company name and the region its quarters are. Columns Fin1 - Fin7 are financial indicators. Edu1 - Edu5 - binary variables referred to education of a company's CEO, Edu6 - rating of the university a particular CEO attended. Target metrics are Y1 - Q - Tobin coefficient, Y2 - ROA.
摘要概览
该数据集《CEO education influence》主要用于二分类任务，数据形态以表格为主，应用场景偏向金融风控。 题目说明：Data for econometric analysis of CEO education impact on a company performance
任务类型：表格二分类。
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：未检测到标准 CSV，可优先查看目录中的索引或说明文件。
Dear colleagues!
This dataset was collected for my Bachelor Thesis in 2023. Further, it was used for the scientific paper: https://doi.org/10.24891/fc.29.12.2670.
It contains information about 76 largest public companies (according to their market capitalization) from 3 macro - regions: the USA, the EU and Russia. The data was collected using parcing techniques from Yahoo Finance. All features are valied for 2021. Columns Name and Region is for company name and the region its quarters are.
Columns Fin1 - Fin7 are financial indicators. Edu1 - Edu5 - binary variables referred to education of a company's CEO, Edu6 - rating of the university a particular CEO attended.
Target metrics are Y1 - Q - Tobin coefficient, Y2 - ROA.