Difference between revisions of "Explainable Decision Forest"
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|Summary=Designing an explainable decision forest classifier for fault detection | |Summary=Designing an explainable decision forest classifier for fault detection | ||
|Keywords=decision forest, explainable AI, fault detection | |Keywords=decision forest, explainable AI, fault detection | ||
| − | |TimeFrame=Autumn | + | |TimeFrame=Autumn 2024 |
|Supervisor=Hamid Sarmadi, Sepideh Pashami, Sławomir Nowaczyk, | |Supervisor=Hamid Sarmadi, Sepideh Pashami, Sławomir Nowaczyk, | ||
|Status=Open | |Status=Open | ||
| Line 8: | Line 8: | ||
An algorithm to train separate "explainable" decision trees for detecting different types of fault has been developed. We would like to extend the algorithm to an ensemble (Decision Forest) method when decision trees are aware of each other. | An algorithm to train separate "explainable" decision trees for detecting different types of fault has been developed. We would like to extend the algorithm to an ensemble (Decision Forest) method when decision trees are aware of each other. | ||
| − | You can read more about the original algorithm in the following link: https://hhse-my.sharepoint.com/:b:/g/personal/hamid_sarmadi_hh_se/ | + | You can read more about the original algorithm in the following link: https://hhse-my.sharepoint.com/:b:/g/personal/hamid_sarmadi_hh_se/EWlwNDHNrnNMqBQ93dNdu9kBS61tWwF56a-rI7A-kPEpRA?e=EpEFQn |
Latest revision as of 21:18, 24 August 2024
| Title | Explainable Decision Forest |
|---|---|
| Summary | Designing an explainable decision forest classifier for fault detection |
| Keywords | decision forest, explainable AI, fault detectionProperty "Keywords" has a restricted application area and cannot be used as annotation property by a user. |
| TimeFrame | Autumn 2024 |
| References | |
| Prerequisites | |
| Author | |
| Supervisor | Hamid Sarmadi, Sepideh Pashami, Sławomir Nowaczyk |
| Level | |
| Status | Open |
An algorithm to train separate "explainable" decision trees for detecting different types of fault has been developed. We would like to extend the algorithm to an ensemble (Decision Forest) method when decision trees are aware of each other.
You can read more about the original algorithm in the following link: https://hhse-my.sharepoint.com/:b:/g/personal/hamid_sarmadi_hh_se/EWlwNDHNrnNMqBQ93dNdu9kBS61tWwF56a-rI7A-kPEpRA?e=EpEFQn
