A Study on the Use of Imputation Methods for Experimentation with Radial Basis Function Network Classifiers Handling Missing Attribute Values: The good synergy between RBFs and EventCovering method ![dataset/studies/missing/luengo-NN10.gif](dataset/studies/missing/luengo-NN10.gif) | J. Luengo, S. García, F. Herrera, A Study on the Use of Imputation Methods for Experimentation with Radial Basis Function Network Classifiers Handling Missing Attribute Values: The good synergy between RBFs and EventCovering method. Neural Networks 23 406-418, doi:10.1016/j.neunet.2009.11.014. | ![images/repository/pdf.png](images/repository/pdf.png) ![images/repository/bib.png](images/repository/bib.png) |
Abstract: The presence of Missing Values in a data set can affect the performance of a classifier constructed using that data set as a training sample. Several methods have been proposed to treat missing data and the one used more frequently is the imputation of the Missing Values of an instance.
In this paper, we analyze the improvement of performance on Radial Basis Function Networks by means of the use of several imputation methods in the classification task with missing values. The study has been conducted using data sets with real Missing Values, and data sets with artificial Missing Values. The results obtained show that EventCovering offers a very good synergy with Radial Basis Function Networks. It allows us to overcome the negative impact of the presence of Missing Values to a certain degree.
Summary: 1. Introduction
2. Preliminaries: Missing values, imputation methods and their use in Neural Networks
3. Experimental study: Imputation methods
4. Concluding remarks
Experimental study: - Algorithms analyzed: RBFN, RBNFD, RBNFI (Neural Networks) IM, EC, KNNI, WKNNI, KMI, FKMI, SVMI, EM, SVDI, BPCA, MC, CMC, DNI (Imputation Methods)
- Data sets used: ZIP file
![images/repository/zip.gif](images/repository/zip.gif) - Missing values: [10fcv] Australian+MV, Autos, Bands, Breast, Cleveland, Crx, Ecoli+MV, German+MV, Hepatitis, Horse-colic, House-Votes-84, Iris+MV, Magic+MV, Mammographic, Mushroom, New-thyroid+MV, Pima+MV, Post-operative, Satimage+MV, Shuttle+MV, Wine+MV, Wisconsin
- Results obtained: ZIP file
![images/repository/zip.gif](images/repository/zip.gif)
|