Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Binarised Regression with Instance-Varying Costs: Evaluation using
  Impact Curves   Many evaluation methods exist, each for a particular prediction task, and
there are a number of prediction tasks commonly performed including
classification and regression. In binarised regression, binary decisions are
generated from a learned regression model (or real-valued dependent variable),
which is useful when the division between instances that should be predicted
positive or negative depends on the utility. For example, in mining, the
boundary between a valuable rock and a waste rock depends on the market price
of various metals, which varies with time. This paper proposes impact curves to
evaluate binarised regression with instance-varying costs, where some instances
are much worse to be classified as positive (or negative) than other instances;
e.g., it is much worse to throw away a high-grade gold rock than a medium-grade
copper-ore rock, even if the mine wishes to keep both because both are
profitable. We show how to construct an impact curve for a variety of domains,
including examples from healthcare, mining, and entertainment. Impact curves
optimize binary decisions across all utilities of the chosen utility function,
identify the conditions where one model may be favoured over another, and
quantitatively assess improvement between competing models.

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The categories of this paper are: acc-phys
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The categories of this paper are: bayes-an
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The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
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The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: funct-an
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The categories of this paper are: dg-ga
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The categories of this paper are: atom-ph
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The categories of this paper are: hep-ph
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The categories of this paper are: math
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The categories of this paper are: quant-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: chem-ph