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死亡及原因

发布时间:2026-03-17 14:31:44资源ID:2031264371752472578资源类型:免费

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

死亡及原因

摘要概览

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