Figure 1.

Performance analysis of machine learning and single attribute classifiers. Receiver Operating Characteristic (ROC) curve for comparing (A) 5 different machine learning algorithms and one meta-algorithm (StackingC); The hashed diagonal line is the performance of a simple betting classifier, which represents probabilistic classification based on the frequency of positive and negative cases in the training set. (B) single-attribute classifiers using correlation of gene pairs across all microarray experiments (All Experiments) and BLAST E-values.