Discussion

Course: Data Mining

1. Note the basic concepts in data classification.
2. Discuss the general framework for classification.
3. What is a decision tree and decision tree modifier?  Note the importance.
4. What is a hyper-parameter?
5. Note the pitfalls of model selection and evaluation.

Need of 300 words and references