Classification Decision Tree (1) 썸네일형 리스트형 [R] Tree-Based Methods : Classification Decision Tree 1. What is Classification Decision Tree? Predict a qualitative response rather than a quantitative one. Predict that each observation belongs to the most commonly occuring class. Use recursive binary splitting to grow a classification tree. Use classification error rate(missclassification rate) as evaluation metrics. Splitting metrics The classification error rate : \(Error = 1 - max_{k}(\hat{p}.. 이전 1 다음
