SRCS (version 1.0)

ML1: Performance of 6 different supervised classification algorithms on eight noisy datasets (see references)

Description

Dataset with the test accuracy of 6 supervised classification algorithms on eight noisy datasets. The way noise is introduced in originally clear datasets can be adjusted according to some parameters such as the noise type (attribute noise versus class noise) and the noise ratio.

Usage

data(ML1)

source

J.A. Saez, M.Galar, J.Luengo, F.Herrera, Tackling the Problem of Classification with Noisy Data using Multiple Classifier Systems: Analysis of the Performance and Robustness. Information Sciences, 247 (2013) 1-20.

References

Christopher M. Bishop. Pattern Recognition and Machine Learning. Springer (2006).

Examples

data(ML1)
str(ML1)
head(ML1)