Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: FSinR: an exhaustive package for feature selection   Feature Selection (FS) is a key task in Machine Learning. It consists in
selecting a number of relevant variables for the model construction or data
analysis. We present the R package, FSinR, which implements a variety of widely
known filter and wrapper methods, as well as search algorithms. Thus, the
package provides the possibility to perform the feature selection process,
which consists in the combination of a guided search on the subsets of features
with the filter or wrapper methods that return an evaluation measure of those
subsets. In this article, we also present some examples on the usage of the
package and a comparison with other packages available in R that contain
methods for feature selection.

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The categories of this paper are: math-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: acc-phys
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The categories of this paper are: q-fin
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The categories of this paper are: hep-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: supr-con
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The categories of this paper are: econ
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The categories of this paper are: adap-org
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The categories of this paper are: q-alg
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-ex
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The categories of this paper are: solv-int
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The categories of this paper are: q-bio
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The categories of this paper are: plasm-ph