Tag: values
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When Shapley Values Break: A Guide to Robust Model Explainability
When Shapley Values Break: A Guide to Robust Model Explainability Shapley Values are one of the most common methods for explainability, yet they can be misleading. Discover how to overcome these limitations to achieve better insights. The post When Shapley Values Break: A Guide to Robust Model Explainability appeared first on Towards Data Science. Alon…
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Mathematically rigorous proofs for Shapley explanations
Mathematically rigorous proofs for Shapley explanations arXiv:2510.03281v1 Announce Type: new Abstract: Machine Learning is becoming increasingly more important in today’s world. It is therefore very important to provide understanding of the decision-making process of machine-learning models. A popular way to do this is by looking at the Shapley-Values of these models as introduced by Lundberg…
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Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models
Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models arXiv:2506.13900v1 Announce Type: new Abstract: Cooperative game theory has become a cornerstone of post-hoc interpretability in machine learning, largely through the use of Shapley values. Yet, despite their widespread adoption, Shapley-based methods often rest on axiomatic justifications whose relevance to feature attribution remains…
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From RGB to HSV — and Back Again
From RGB to HSV — and Back Again Introduction A fundamental concept in Computer Vision is understanding how images are stored and represented. On disk, image files are encoded in various ways, from lossy, compressed JPEG files to lossless PNG files. Once you load an image into a program and decode it from the respective…
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An LLM-Based Workflow for Automated Tabular Data Validation
An LLM-Based Workflow for Automated Tabular Data Validation This article is part of a series of articles on automating data cleaning for any tabular dataset: Effortless Spreadsheet Normalisation With LLM You can test the feature described in this article on your own dataset using the CleanMyExcel.io service, which is free and requires no registration. What…
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On Model Extrapolation in Marginal Shapley Values
On Model Extrapolation in Marginal Shapley Values arXiv:2412.13158v1 Announce Type: new Abstract: As the use of complex machine learning models continues to grow, so does the need for reliable explainability methods. One of the most popular methods for model explainability is based on Shapley values. There are two most commonly used approaches to calculating Shapley…