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....
Saved in:
主要作者: | Wong, Keng Tuck |
---|---|
格式: | Thesis |
出版: |
2020
|
主题: | |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Cost effectiveness analysis of erythropoietin therapy in the ministry of health dialysis programme
由: Md. Yusof, Faridah Aryani
出版: (2006) -
Missing tags detection algorithm for radio frequency identification (RFID) data stream
由: Zainudin, Nur 'Aifaa
出版: (2019) -
An improvement of back propagation algorithm using halley third order optimisation method for classification problems
由: Abdul Hamid, Norhamreeza
出版: (2020) -
Data Mining For Robust Tests Of Spread [QA76.9.D343 T26 2008 f rb].
由: Teh, Sin Yin
出版: (2008) -
Underwater Image Enhancement Using Integrated Contrast Correction And White Balance Methods.
由: Iqbal, Kashif
出版: (2009)