Publikation

Enhanced Confidence Interpretations of GP-based Ensemble Modeling Results

Outline:

M. Affenzeller, S. M. Winkler, S. Forstenlechner, G. K. Kronberger, M. Kommenda, S. Wagner, H. Stekel - Enhanced Confidence Interpretations of GP-based Ensemble Modeling Results - Proceedings of the 24th European Modeling and Simulation Symposium EMSS 2012, Vienna, Austria, 2012, pp. 340-345

Abstract:

In this paper we describe the integration of ensemble modeling into genetic programming based classification and discuss concepts how to use genetic programming specific features for achieving new confidence indicators that estimate the trustworthiness of predictions. These new concepts are tested on a real world dataset from the field of medical diagnosis for cancer prediction where the trustworthiness of modeling results is of highest importance.

Downloads: