- Tytuł:
-
Feature Selection and Multiple Model Approach in Discriminant Analysis
Dobór zmiennych a podejście wielomodelowe w analizie dyskryminacyjnej - Autorzy:
- Gatnar, Eugeniusz
- Powiązania:
- https://bibliotekanauki.pl/articles/906874.pdf
- Data publikacji:
- 2007
- Wydawca:
- Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
- Tematy:
-
tree-based models
aggregation
feature selection
random subspaces - Opis:
- Significant improvement of model stability and prediction accuracy in classification and regression can be obtained by using the multiple model approach. In classification multiple models are built on the basis of training subsets (selected from the training set) and combined into an ensemble or a committee. Then the component models (classification trees) determine the predicted class by voting. In this paper some problems of feature selection for ensembles will be discussed. We propose a new correlation-based feature selection method combined with the wrapper approach.
- Źródło:
-
Acta Universitatis Lodziensis. Folia Oeconomica; 2007, 206
0208-6018
2353-7663 - Pojawia się w:
- Acta Universitatis Lodziensis. Folia Oeconomica
- Dostawca treści:
- Biblioteka Nauki
Artykuł