Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Exploring the relationship between performance metrics and cost saving
  potential of defect prediction models   Performance metrics are a core component of the evaluation of any machine
learning model and used to compare models and estimate their usefulness. Recent
work started to question the validity of many performance metrics for this
purpose in the context of software defect prediction. Within this study, we
explore the relationship between performance metrics and the cost saving
potential of defect prediction models. We study whether performance metrics are
suitable proxies to evaluate the cost saving capabilities and derive a theory
for the relationship between performance metrics and cost saving potential.

23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci