New Feature Subset Selection Procedures for Classification of Expression
Hellem Bø and Inge Jonassen
This page contains supplementary information to the paper New
Feature Subset Selection Procedures for Classification of Expression Profiles. Here you will find all the figures not included in
the paper regarding prediction accuracies. Also included are links to web-adresses
from which the datasets we have used can be downloaded.
The plots below are of average prediction accuracy performance, using three
prediction methods and holding back different portions of
the data from the training set. LOOCV stands for Leave-One-Out Cross
Validation, L-24-OCV for Leave-24-Out Cross Validation, and so on.
Each curve show the performance for
feature sets of varying size selected by four feature selection methods.
dataset was publised by Golub et al. (Science, 1999). Our results were
achieved using all 72 experiments.
dataset was published by Alon et al. (PNAS, 1999).