Cost-sensitive ensemble decision tree algorithms for customer churn analysis
Traditionally, the major goal of most classification learning methods is to focus on improving the accuracy rate and minimizing generalization errors or misclassification rate. However, this is not the case in the business domain. Most businesses aim to minimize operation costs and maximize profits....
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Main Author: | Wong, Keng Tuck |
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Format: | Thesis |
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2020
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