Evidential Reasoning Rule Based Feature Selection | AISC

Evidential Reasoning Rule Based Feature Selection | AISC

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=phVb9y3YLyU


Duration: 56:45
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For slides and more information on the paper, visit https://ai.science/e/evidential-reasoning-rule-based-feature-selection--2021-04-14-rehman

Speaker: Dr. Fatima Almaghrabi; Host: Muhammad Rehman Zafar

Motivation:
Accurate features selection is very crucial in interpretable machine learning as the most popular approaches i.e LIME and SHAP are based on it. Therefore, intention of this paper is to select a number of features that can be used to accurately predict patients’ outcomes through three feature selection methods: random forest, ReliefF and the evidential reasoning (ER) rule.



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