Which term is used to describe forecasting future outcomes based on historical data?

Which term is used to describe forecasting future outcomes based on historical data?

• A. Prediction
• B. Inference
• C. Classification
• D. Regression

Answer: (A)

Forecasting future outcomes based on historical data is called prediction. The main idea is to use patterns learned from past observations to estimate what will happen next, which can involve predicting a numeric value or a likelihood of an event. If you’re predicting a continuous number, regression is a specific method used to do that, but it’s still a way to predict. Inference is about drawing conclusions about a population or relationships from data, not about forecasting future values. Classification, meanwhile, assigns inputs to discrete categories rather than predicting a numerical outcome.

Forecasting future outcomes based on historical data is called prediction. The main idea is to use patterns learned from past observations to estimate what will happen next, which can involve predicting a numeric value or a likelihood of an event. If you’re predicting a continuous number, regression is a specific method used to do that, but it’s still a way to predict. Inference is about drawing conclusions about a population or relationships from data, not about forecasting future values. Classification, meanwhile, assigns inputs to discrete categories rather than predicting a numerical outcome.