What is prediction and how do Machine Learning models make predictions?

Prediction is using learned patterns from historical data to estimate outcomes or classify new, unseen information with reasonable accuracy.\n\n• Process: Apply learned patterns to new data\n• Types: Forecasting future values, classifying categories\n• Confidence: Models provide probability estimates\n• Accuracy: Depends on training data quality and model complexity\n\nExample: Weather prediction uses historical weather patterns, current conditions, and atmospheric models to forecast tomorrow's weather. Stock price prediction analyzes past market trends, company performance, and economic indicators.