Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Feature Synergy, Redundancy, and Independence in Global Model
  Explanations using SHAP Vector Decomposition   We offer a new formalism for global explanations of pairwise feature
dependencies and interactions in supervised models. Building upon SHAP values
and SHAP interaction values, our approach decomposes feature contributions into
synergistic, redundant and independent components (S-R-I decomposition of SHAP
vectors). We propose a geometric interpretation of the components and formally
prove its basic properties. Finally, we demonstrate the utility of synergy,
redundancy and independence by applying them to a constructed data set and
model.

18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
16
The categories of this paper are: stat
37
The categories of this paper are: supr-con