Bias and Stability of Single Variable Classifiers for Feature Ranking and Selection

Bias and Stability of Single Variable Classifiers for Feature Ranking and Selection

Feature rankings are often used for supervised dimension reduction especially when discriminating power of each feature is of interest, dimensionality of dataset is extremely high, or computational power is limited to perform more complicated methods. In practice, it is recommended to start dimensio...

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Bibliographische Detailangaben
Veröffentlicht in:Expert systems with applications. - 1999. - 14(2014), 15 vom: 01. Nov., Seite 6945-6958
1. Verfasser: Fakhraei, Shobeir (VerfasserIn)
Weitere Verfasser: Soltanian-Zadeh, Hamid, Fotouhi, Farshad
Format: Aufsatz
Sprache:English
Veröffentlicht: 2014
Zugriff auf das übergeordnete Werk:Expert systems with applications
Schlagworte:Journal Article AdaBoost Bias Dimension Reduction Feature Ranking Feature Selection K-Nearest Neighbors Logistic Regression Multilayer Perceptron Naïve Bayes mehr... Random Forests Single Variable Classifier Stability Support Vector Machines