教学助理评估数据集

Collector: Wei-Yin Loh (Department of Statistics, UW-Madison) Donor: Tjen-Sien Lim (limt '@' stat.wisc.edu) Data Set Information: The data consist of evaluations of teaching performance over three regular semesters and two summer semesters of 151 teaching assistant (TA) assignments at the Statistics Department of the University of Wisconsin-Madison. The scores were divided into 3 roughly equal-sized categories ("low", "medium", and "high") to form the class variable. Attribute Information: 1. Whether of not the TA is a native English speaker (binary); 1=English speaker, 2=non-English speaker 2. Course instructor (categorical, 25 categories) 3. Course (categorical, 26 categories) 4. Summer or regular semester (binary) 1=Summer, 2=Regular 5. Class size (numerical) 6. Class attribute (categorical) 1=Low, 2=Medium, 3=High Relevant Papers: Loh, W.-Y. & Shih, Y.-S. (1997). Split Selection Methods for Classification Trees, Statistica Sinica 7: 815-840. [Web link] Lim, T.-S., Loh, W.-Y. & Shih, Y.-S. (1999). A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-three Old and New Classification Algorithms. Machine Learning. ([Web link] or [Web link]) [Web link] Citation Request: Please refer to the Machine Learning Repository's citation policy

数据收集者：罗维寅（威斯康星大学麦迪逊分校统计系）；数据捐赠者：林锦仙（联系邮箱：limt '@' stat.wisc.edu）

数据集说明：该数据集包含威斯康星大学麦迪逊分校统计系151名助教（Teaching Assistant, TA）在3个常规学期与2个暑期学期的教学表现评价数据。将所得评分划分为「低」「中」「高」三个近似均等的类别，以此构建分类标签变量。

属性信息：
1. 助教是否为英语母语使用者（二分类属性）：1=英语母语使用者，2=非英语母语使用者
2. 授课教师（分类属性，共25个类别）
3. 课程（分类属性，共26个类别）
4. 学期类型（二分类属性）：1=暑期学期，2=常规学期
5. 班级规模（数值型属性）
6. 分类标签（分类属性）：1=低，2=中，3=高

相关文献：
1. Loh, W.-Y. & Shih, Y.-S. (1997). 分类树的分裂选择方法，《Statistica Sinica》，7: 815-840. [网页链接]
2. Lim, T.-S., Loh, W.-Y. & Shih, Y.-S. (1999). 33种新旧分类算法的预测精度、复杂度与训练时间对比，《Machine Learning》. [网页链接] 或 [网页链接] [网页链接]

引用要求：请遵照机器学习存储库（Machine Learning Repository）的引用规范。