Bayes Risk Post-Pruning in Decision Tree to Overcome Overfitting Problem on Customer Churn Classification

Devina Christianti, Sarini Abdullah, Siti Nurrohmah · 2020

Classification is the process of assigning a set of data into an existing class. Decision tree is claimed to be faster and produces better accuracy compared to another classifier. However, it has some drawbacks in which the classifier is susceptible to overfitting. This problem can be avoided by pos

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