Figure 4. Repeated cross-validation of assigned class labels in NCI60 cell lines.

A) One-against-one feature selection and classification. B) One-against-all feature selection and classification. LIMMA, linear models for microarray; OVL, overlap of locally adaptive kernel densities; WSV, weight of support vectors; BAG, bagging; J48, C4.5 decision tree; KNN, k-nearest neighbors, NBA, naive Bayes; RFO, random forests; SVM, support vector machine.