Search For:

Displaying 1-2 out of 2 total
A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models
Found in: IEEE Transactions on Knowledge and Data Engineering
By Thomas Verbraken,Wouter Verbeke,Bart Baesens
Issue Date:May 2013
pp. 961-973
The interest for data mining techniques has increased tremendously during the past decades, and numerous classification techniques have been applied in a wide range of business applications. Hence, the need for adequate performance measures has become more...
 
Toward Comprehensible Software Fault Prediction Models Using Bayesian Network Classifiers
Found in: IEEE Transactions on Software Engineering
By Karel Dejaeger,Thomas Verbraken,Bart Baesens
Issue Date:February 2013
pp. 237-257
Software testing is a crucial activity during software development and fault prediction models assist practitioners herein by providing an upfront identification of faulty software code by drawing upon the machine learning literature. While especially the ...
 
 1