Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning

Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning

In many domains of our daily life (e.g., agriculture, forestry, health, etc.), both laymen and experts need to classify entities into two binary classes (yes/no, good/bad, sufficient/insufficient, benign/malign, etc.). For many entities, this decision is difficult and we need another class called “m...

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Bibliographic Details
Main Authors: Anna Saranti, Miroslav Hudec, Erika Mináriková, Zdenko Takáč, Udo Großschedl, Christoph Koch, Bastian Pfeifer, Alessa Angerschmid, Andreas Holzinger
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Machine Learning and Knowledge Extraction
Subjects:
actionable explainable AI
classification
aggregation functions
ordinal sums
continuous XOR-problem
interpretable machine learning
Online Access:https://www.mdpi.com/2504-4990/4/4/47

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https://www.mdpi.com/2504-4990/4/4/47

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