1. the number or proportion of correct predictions that can be made from a particular test or model. 2. the gain in utility (explanatory information) obtained by adding more predictor or independent variables to a regression equation. For example, the accuracy of a student’s predicted college grade-point average may be increased if one considers high school grade-point average in addition to Scholastic Assessment Test score.