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.
| Original language | English |
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| Title of host publication | 24th European Modeling and Simulation Symposium, EMSS 2012 |
| Pages | 340-345 |
| Number of pages | 6 |
| Publication status | Published - 2012 |
| Event | 24th European Modeling and Simulation Symposium, EMSS 2012 - Vienna, Austria Duration: 19 Sept 2012 → 21 Sept 2012 |
Publication series
| Name | 24th European Modeling and Simulation Symposium, EMSS 2012 |
|---|
Conference
| Conference | 24th European Modeling and Simulation Symposium, EMSS 2012 |
|---|---|
| Country/Territory | Austria |
| City | Vienna |
| Period | 19.09.2012 → 21.09.2012 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Data mining
- Ensemble modeling
- Genetic programming
- Medical data analysis
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