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• Classification
• predicts categorical class labels (discrete or nominal)
• 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
• Numeric Prediction
• models continuous-valued functions, i.e., predicts unknown or missing values
• Typical applications
• Credit/loan approval:
• Medical diagnosis: if a tumor is cancerous or benign
• Fraud detection: if a transaction is fraudulent
• Web page categorization: which category it is

Prediction Problems: Classification vs. Numeric Prediction