Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Feature Selection Methods for Uplift Modeling   Uplift modeling is a predictive modeling technique that estimates the
user-level incremental effect of a treatment using machine learning models. It
is often used for targeting promotions and advertisements, as well as for the
personalization of product offerings. In these applications, there are often
hundreds of features available to build such models. Keeping all the features
in a model can be costly and inefficient. Feature selection is an essential
step in the modeling process for multiple reasons: improving the estimation
accuracy by eliminating irrelevant features, accelerating model training and
prediction speed, reducing the monitoring and maintenance workload for feature
data pipeline, and providing better model interpretation and diagnostics
capability. However, feature selection methods for uplift modeling have been
rarely discussed in the literature. Although there are various feature
selection methods for standard machine learning models, we will demonstrate
that those methods are sub-optimal for solving the feature selection problem
for uplift modeling. To address this problem, we introduce a set of feature
selection methods designed specifically for uplift modeling, including both
filter methods and embedded methods. To evaluate the effectiveness of the
proposed feature selection methods, we use different uplift models and measure
the accuracy of each model with a different number of selected features. We use
both synthetic and real data to conduct these experiments. We also implemented
the proposed filter methods in an open source Python package (CausalML).

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The categories of this paper are: plasm-ph
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The categories of this paper are: q-fin
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The categories of this paper are: cmp-lg
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The categories of this paper are: funct-an
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The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: adap-org
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The categories of this paper are: supr-con
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The categories of this paper are: cond-mat
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The categories of this paper are: econ
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The categories of this paper are: hep-lat
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The categories of this paper are: mtrl-th
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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: hep-ph