Learn about classification in data mining and the classic strategies used to create classifiers to make predictions.
Your assignment is to read the following items and be prepared to discuss them in class.
What is classification? Is it descriptive, predictive or both? Typically Supervised or unsupervised? What is decision tree induction? What is model overfitting and why is it a problem? How might you evaluate classifier models?