Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation
M. Affenzeller, S. M. Winkler, H. Stekel, S. Forstenlechner, S. Wagner - Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation - Lecture Notes in Computer Science LNCS 8111, Las Palmas de Gran Canaria, Spain, 2013, pp. 316-323
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.