Prediction models

Definition

Prediction models are mathematical algorithms that use historical data and various variables to make predictions or forecasts about future events or outcomes. These models can be used in a wide range of fields, including politics, economics, and sports.

Related terms

Polling data: Data collected through surveys and questionnaires that reflect public opinions on specific issues or candidates.

Regression analysis: A statistical technique used to examine the relationship between one dependent variable (such as election outcome) and several independent variables (such as polling data) to predict future outcomes.

Machine learning: A subset of artificial intelligence that involves developing algorithms capable of learning from data and making predictions without being explicitly programmed.