In this chapter, we will look at two ways to leverage ML when it comes to analyzing the success of the projects. A classifier is used to predict if a project will be successful. We will also look at a technique to determine feature importance. The techniques discussed in this chapter will help an auditor determine the projects that are likely to fail which can be great points for discussion with the business. The results of the feature importance analysis can be used to determine the variables that are most important ...
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
M. SekarMachine Learning for Auditorshttps://doi.org/10.1007/978-1-4842-8051-5_2323. Project Management
Maris Sekar1
(1)
Calgary, AB, Canada
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