A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models

Thomas Verbraken, Wouter Verbeke, B. Baesens

Research output: Contribution to journal › Article › peer-review

131 Citations (Scopus)

Original language	English
Pages (from-to)	961-973
Number of pages	13
Journal	IEEE Transactions on Knowledge and Data Engineering
Volume	25
Issue number	5
Publication status	Published - 2013

Cite this

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title = "A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models",

author = "Thomas Verbraken and Wouter Verbeke and B. Baesens",

year = "2013",

language = "English",

volume = "25",

pages = "961--973",

journal = "IEEE Transactions on Knowledge and Data Engineering",

issn = "1041-4347",

publisher = "IEEE Computer Society",

number = "5",

}

TY - JOUR

T1 - A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models

AU - Verbraken, Thomas

AU - Verbeke, Wouter

AU - Baesens, B.

PY - 2013

Y1 - 2013

M3 - Article

SN - 1041-4347

VL - 25

SP - 961

EP - 973

JO - IEEE Transactions on Knowledge and Data Engineering

JF - IEEE Transactions on Knowledge and Data Engineering

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