Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Updates on the Complexity of SHAP Scores
Authors: Xuanxiang Huang, Joao Marques-Silva
IJCAI 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This paper refines some of the existing complexity claims, including families of classifiers for which the computation of SHAP scores is computationally hard and those for which there exist polynomial-time algorithms. Moreover, this paper proves that the computational complexity of SHAP scores is #P-hard for these widely used families of random forest (RF) classifiers. |
| Researcher Affiliation | Academia | Xuanxiang Huang1 , Joao Marques-Silva2 1CNRS@CREATE, Singapore 2ICREA, University of Lleida, Spain |
| Pseudocode | Yes | Algorithm 1 Computation of SHAP scores for non-boolean DTs (Page 8) |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described. |
| Open Datasets | No | The paper is theoretical and does not involve training models on datasets. |
| Dataset Splits | No | The paper is theoretical and does not involve dataset splits for validation. |
| Hardware Specification | No | The paper focuses on theoretical analysis and proofs, and does not describe experiments that would require hardware specifications. |
| Software Dependencies | No | The paper focuses on theoretical analysis and proofs, and does not describe experiments that would require software dependencies. |
| Experiment Setup | No | The paper focuses on theoretical analysis and proofs, and does not describe an experimental setup. |