地球资源数据云——数据资源详情
手写数据检测阿尔茨海默病
该数据集《Handwriting Data to Detect Alzheimer’s Disease》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：DARWIN Dataset - Detect Alzheimer’s disease from handwriting 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：data.csv。 The DARWIN dataset includes handwriting data from 174 participants. The classification task consists in distinguishing Alzheimer’s disease patients from healthy people. Creator: Francesco Fontanella Source: https://archive.ics.uci.edu/dataset/732/darwin The DARWIN dataset was created to allow researchers to improve the existing machine - learning methodologies for the prediction of Alzheimer's disease via handwriting analysis. Citation Requests/Acknowledgements
摘要概览
该数据集《Handwriting Data to Detect Alzheimer’s Disease》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：DARWIN Dataset - Detect Alzheimer’s disease from handwriting
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：data.csv。
The DARWIN dataset includes handwriting data from 174 participants. The classification task consists in distinguishing Alzheimer’s disease patients from healthy people.
Creator: Francesco Fontanella
Source: https://archive.ics.uci.edu/dataset/732/darwin
The DARWIN dataset was created to allow researchers to improve the existing machine - learning methodologies for the prediction of Alzheimer's disease via handwriting analysis.
Citation Requests/Acknowledgements