Opening book details…
Can I read RGA: a unified measure of predictive accuracy on EtoBox?
RGA: a unified measure of predictive accuracy by Paolo Giudici; Emanuela Raffinetti is a Computer Science article available to read on EtoBox.
What is RGA: a unified measure of predictive accuracy about?
## Abstract A key point to assess statistical forecasts is the evaluation of their predictive accuracy. Recently, a new measure, called Rank Graduation Accuracy (RGA), based on the concordance between the ranks of the predicted values and the ranks of the actual values of a series of observations to be forecast, was proposed for the assessment of the quality of the predictions. In this paper, we demonstrate that, in a classification perspective, when the response to be predicted is binary, the RGA coincides both with the AUROC and the Wilcoxon-Mann–Whitney statistic, and can be employed to evaluate the accuracy of probability forecasts. When the response to be predicted is real valued, the RGA can still be applied, differently from the AUROC, and similarly to measures such as the RMSE. Differently from the RMSE, the RGA measure evaluates point predictions in terms of their ranks, rather than in terms of their values, improving robustness.
Who reads RGA: a unified measure of predictive accuracy?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Paolo Giudici; Emanuela Raffinetti
- Publisher
- Springer Science and Business Media LLC
- Published
- 2024
- Language
- EN
- Field
- Computer Science (Physical Sciences)