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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主要作者: Wong, Keng Tuck
格式: Thesis
出版: 2020
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