Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Gradient Boosting Application in Forecasting of Performance Indicators
  Values for Measuring the Efficiency of Promotions in FMCG Retail   In the paper, a problem of forecasting promotion efficiency is raised. The
authors propose a new approach, using the gradient boosting method for this
task. Six performance indicators are introduced to capture the promotion
effect. For each of them, within predefined groups of products, a model was
trained. A description of using these models for forecasting and optimising
promotion efficiency is provided. Data preparation and hyperparameters tuning
processes are also described. The experiments were performed for three groups
of products from a large grocery company.

33
The categories of this paper are: plasm-ph
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org