Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Using Data Analytics to predict students score   Education is very important to Singapore, and the government has continued to
invest heavily in our education system to become one of the world-class systems
today. A strong foundation of Science, Technology, Engineering, and Mathematics
(STEM) was what underpinned Singapore's development over the past 50 years.
PISA is a triennial international survey that evaluates education systems
worldwide by testing the skills and knowledge of 15-year-old students who are
nearing the end of compulsory education. In this paper, the authors used the
PISA data from 2012 and 2015 and developed machine learning techniques to
predictive the students' scores and understand the inter-relationships among
social, economic, and education factors. The insights gained would be useful to
have fresh perspectives on education, useful for policy formulation.

32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
19
The categories of this paper are: eess
7
The categories of this paper are: hep-th
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas