What is the difference between classification and regression problems?

Classification and regression are two fundamental types of supervised learning problems, differing in their output types and evaluation methods.\n\n• Classification: Predicts discrete categories or classes\n• Regression: Predicts continuous numerical values\n• Output types: Categories vs numbers\n• Evaluation: Accuracy/F1-score vs MAE/RMSE\n\nExample: Classification - Email spam detection (spam/not spam), image recognition (cat/dog). Regression - House price prediction ($200K), stock price forecasting, temperature prediction. Choose based on problem requirements.