地球资源数据云——数据资源详情
该数据集《Deaths and causes》主要用于多分类任务,数据形态以表格为主,应用场景偏向医疗健康。 题目说明:Synthetic dataset on deaths and their cause 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:deaths_and_causes_synthetic.csv。 This dataset is a synthetic, globally representative collection of mortality records designed for data analysis, visualization, and machine learning practice. It simulates real - world death statistics across multiple countries, age groups, genders, and causes of death while maintaining privacy and ethical safety. Each row represents an individual death record with attributes such as: Country & Region Year of Death Age Group Gender Primary Cause of Death (e.g., cardiovascular disease, cancer, accidents, infectious diseases) Number of deaths Mortality rate per 1000 This dataset is ideal for: Exploratory Data Analysis (EDA) Trend analysis of causes of death Public health and epidemiology simulations Data visualization projects Classification & clustering models Kaggle notebooks and portfolio projects

该数据集《Deaths and causes》主要用于多分类任务,数据形态以表格为主,应用场景偏向医疗健康。 题目说明:Synthetic dataset on deaths and their cause
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:deaths_and_causes_synthetic.csv。
This dataset is a synthetic, globally representative collection of mortality records designed for data analysis, visualization, and machine learning practice. It simulates real - world death statistics across multiple countries, age groups, genders, and causes of death while maintaining privacy and ethical safety.
Each row represents an individual death record with attributes such as:
Country & Region Year of Death Age Group Gender Primary Cause of Death (e.g., cardiovascular disease, cancer, accidents, infectious diseases) Number of deaths Mortality rate per 1000
This dataset is ideal for:
Exploratory Data Analysis (EDA) Trend analysis of causes of death Public health and epidemiology simulations Data visualization projects Classification & clustering models Kaggle notebooks and portfolio projects