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.