地球资源数据云——数据资源详情
骨科患者的生物力学特征
该数据集《Biomechanical features of orthopedic patients》主要用于二分类任务，数据形态以文本为主，应用场景偏向医疗健康。 题目说明：Classifying patients based on six features 任务类型：文本二分类。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 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：column_2C_weka.csv, column_3C_weka.csv。 Context The data have been organized in two different but related classification tasks. column_3C_weka.csv (file with three class labels) The first task consists in classifying patients as belonging to one out of three categories: Normal (100 patients), Disk Hernia (60 patients) or Spondylolisthesis (150 patients). column_2C_weka.csv (file with two class labels)
摘要概览
该数据集《Biomechanical features of orthopedic patients》主要用于二分类任务，数据形态以文本为主，应用场景偏向医疗健康。 题目说明：Classifying patients based on six features
任务类型：文本二分类。
建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。
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：column_2C_weka.csv, column_3C_weka.csv。
Context
The data have been organized in two different but related classification tasks.
column_3C_weka.csv (file with three class labels)
The first task consists in classifying patients as belonging to one out of three categories: Normal (100 patients), Disk Hernia (60 patients) or Spondylolisthesis (150 patients).
column_2C_weka.csv (file with two class labels)