Classification VS prediction
•Classification:
–predicts categorical class labels
–classifies data (constructs a model) based on the training set and the values (class labels) in a classifying attribute and uses it in classifying new data
•Prediction:
–models continuous-valued functions, i.e., predicts unknown or missing values
•Typical Applications
–credit approval
–target marketing
–medical diagnosis
–treatment effectiveness analysis