图 书 馆
预测的距离 学生成绩分类方法的比较Comparing classification methods for predicting distance students' performance |
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| 课程网址: | http://videolectures.net/wapa2011_garcia_saiz_performance/ |
| 主讲教师: | Diego Garcia-Saiz |
| 开课单位: | 坎塔布里亚大学 |
| 开课时间: | 2011-11-11 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Virtual teaching is constantly growing and, with it, the necessity of instructors to predict the performance of their students. In response to this necessity, different machine learning techniques can be used. Although there are so many benchmarks comparing their performance and accuracy, there are still very few experiments carried out on educational datasets which have very special features which make them different from other datasets. Therefore, in this work we compare the performance and interpretation level of the output of the different classification techniques applied on educational datasets and propose a meta-algorithm to preprocess the datasets and improve the accuracy of the model, which will be used by virtual instructors for their decision making through the ElWM tool. |
| 关 键 词: | 虚拟教学; 实验数据集; 元算法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-18：dingaq |
| 阅读次数: | 76 |