Nelson Baloian - Improving Accuracy and Interpretability of Regressors - IDDS 2023

Dr. Nelson Baloian presents:

Improving Accuracy and Interpretability of Regressors Using a Depster Shafer Classifier

Developing new regression techniques is a constant objective in machine learning research. The principal measures for evaluating the quality of a regression model are its accuracy and interpretability. However, experience has shown that accuracy and interpretability are often opposed goals; highly accurate regression methods often have low interpretability and vice versa.

In this talk, Dr. Baloian presents a methodology that combines the features of inherently interpretable methods with high-performing methods’ accuracy. The study obtained a general regression method with high interpretability and precision simultaneously. In most cases, this method achieves higher accuracy than competing regression algorithms. The proposed model’s interpretability was validated by comparing it with a decision tree model, obtaining similar results.
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On July 31-August 2, 2023, CSE organized the First Armenian-German Research Summit (IDDS 2023) along with the University of Duisburg-Essen and the Foundation for Armenian Science and Technology (FAST).

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