Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Unified Treatment of Predictive Model Comparison   The predictive performance of any inferential model is critical to its
practical success, but quantifying predictive performance is a subtle
statistical problem. In this paper I show how the natural structure of any
inferential problem defines a canonical measure of relative predictive
performance and then demonstrate how approximations of this measure yield many
of the model comparison techniques popular in statistics and machine learning.

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The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an
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The categories of this paper are: eess
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The categories of this paper are: econ
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The categories of this paper are: q-bio
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The categories of this paper are: hep-ex
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The categories of this paper are: adap-org
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The categories of this paper are: dg-ga
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The categories of this paper are: alg-geom
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The categories of this paper are: q-fin
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The categories of this paper are: gr-qc
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The categories of this paper are: nucl-th
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The categories of this paper are: supr-con
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The categories of this paper are: nucl-ex