图 书 馆
与预测交互：黑盒机器学习模型的视觉检查Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models |
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| 课程网址: | https://videolectures.net/videos/kdd2016_perer_learning_models |
| 主讲教师: | Adam Perer |
| 开课单位: | KDD 2016研讨会 |
| 开课时间: | 2025-02-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Understanding predictive models, in terms of interpreting and identifying actionable insights, is a challenging task. Often the importance of a feature in a model is only a rough estimate condensed into one number. However, our research goes beyond these naïve estimates through the design and implementation of an interactive visual analytics system, Prospector. By providing interactive partial dependence diagnostics, data scientists can understand how features affect the prediction overall. In addition, our support for localized inspection allows data scientists to understand how and why specific datapoints are predicted as they are, as well as support for tweaking feature values and seeing how the prediction responds. Our system is then evaluated using a case study involving a team of data scientists improving predictive models for detecting the onset of diabetes from electronic medical records. |
| 关 键 词: | 预测交互; 黑盒模型; 机器学习 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2025-02-27：liyq |
| 最后编审: | 2025-02-27：liyq |
| 阅读次数: | 6 |