Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Explicating feature contribution using Random Forest proximity distances   In Random Forests, proximity distances are a metric representation of data
into decision space. By observing how changes in input map to the movement of
instances in this space we are able to determine the independent contribution
of each feature to the decision-making process. For binary feature vectors,
this process is fully specified. As these changes in input move particular
instances nearer to the in-group or out-group, the independent contribution of
each feature can be uncovered. Using this technique, we are able to calculate
the contribution of each feature in determining how black-box decisions were
made. This allows explication of the decision-making process, audit of the
classifier, and post-hoc analysis of errors in classification.

7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
23
The categories of this paper are: solv-int
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
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The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys