Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On the limits of algorithmic prediction across the globe   The impact of predictive algorithms on people's lives and livelihoods has
been noted in medicine, criminal justice, finance, hiring and admissions. Most
of these algorithms are developed using data and human capital from highly
developed nations. We tested how well predictive models of human behavior
trained in a developed country generalize to people in less developed countries
by modeling global variation in 200 predictors of academic achievement on
nationally representative student data for 65 countries. Here we show that
state-of-the-art machine learning models trained on data from the United States
can predict achievement with high accuracy and generalize to other developed
countries with comparable accuracy. However, accuracy drops linearly with
national development due to global variation in the importance of different
achievement predictors, providing a useful heuristic for policymakers. Training
the same model on national data yields high accuracy in every country, which
highlights the value of local data collection.

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The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
26
The categories of this paper are: bayes-an
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The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
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The categories of this paper are: dg-ga
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph