Master Thesis Online
Local permutation importances for random forests
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Weyders, Pierre-François 
Promotor(s) :
Geurts, Pierre
Date of defense : 6-Sep-2021/7-Sep-2021 • Permalink : http://hdl.handle.net/2268.2/13302
Details
| Title : | Local permutation importances for random forests |
| Translated title : | [fr] Permutations locale d'importance dans les forêts d'arbres de décision. |
| Author : | Weyders, Pierre-François
|
| Date of defense : | 6-Sep-2021/7-Sep-2021 |
| Advisor(s) : | Geurts, Pierre
|
| Committee's member(s) : | Louppe, Gilles
Wehenkel, Louis
Sutera, Antonio
|
| Language : | English |
| Number of pages : | 69 |
| Keywords : | [en] local importance, MDA, MDI, SHAP, Saabas, GRN |
| Discipline(s) : | Engineering, computing & technology > Computer science |
| Target public : | Researchers Professionals of domain Student General public |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master : ingénieur civil en science des données, à finalité spécialisée |
| Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[en] The topic of this thesis is to study and compare local ranking methods applied to ensembles of trees with the aim to interpret each prediction of a model. This work contributes to the understanding of the ensembles of trees through the study of methods that locally identify the variables that are important for a prediction. The second contribution of the thesis is the further application of local ranking methods to the Gene Regulatory Network inference problem. The results of the local methods are compared with ground-truth data inferred from a simulator and their performances are compared to the state of the art method of that field.
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Cite this master thesis
APA
Weyders, P.-F. (2021). Local permutation importances for random forests. (Unpublished master's thesis). Université de Liège, Liège, Belgique. Retrieved from https://matheo.uliege.be/handle/2268.2/13302
Chicago
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The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.