Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: How to avoid machine learning pitfalls: a guide for academic researchers   This document gives a concise outline of some of the common mistakes that
occur when using machine learning techniques, and what can be done to avoid
them. It is intended primarily as a guide for research students, and focuses on
issues that are of particular concern within academic research, such as the
need to do rigorous comparisons and reach valid conclusions. It covers five
stages of the machine learning process: what to do before model building, how
to reliably build models, how to robustly evaluate models, how to compare
models fairly, and how to report results.

22
The categories of this paper are: chao-dyn
8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an