Path-Based Visual Explanation
| Autor: | Yao Meng, Yucheng Jin, Mohsen Pourvali, Lei Wang, Changjian Hu, Masha Gorkovenko, Chen Sheng |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Natural Language Processing and Chinese Computing ISBN: 9783030604561 NLPCC (2) |
| DOI: | 10.1007/978-3-030-60457-8_37 |
| Popis: | The ability to explain the behavior of a Machine Learning (ML) model as a black box to people is becoming essential due to wide usage of ML applications in critical areas ranging from medicine to commerce. Case-Based Reasoning (CBR) received a special interest among other methods of providing explanations for model decisions due to the fact that it can easily be paired with a black box and then can propose a post-hoc explanation framework. In this paper, we propose a CBR-Based method to not only explain a model decision but also provide recommendations to the user in an easily understandable visual interface. Our evaluation of the method in a user study shows interesting results. |
| Databáze: | OpenAIRE |
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