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Summary: An Approach to Software Testing of Machine Learning Applications
Christian Murphy Gail Kaiser Marta Arias
Dept. of Computer Science
Columbia University
New York, NY
cmurphy@cs.columbia.edu
Dept. of Computer Science
Columbia University
New York, NY
kaiser@cs.columbia.edu
Center for Computational
Learning Systems
Columbia University
New York, NY
marta@ccls.columbia.edu
Abstract
Some machine learning applications are intended
to learn properties of data sets where the correct
answers are not already known to human users. It is
challenging to test such ML software, because there is
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