Figure 1

Learning Scheme Accuracy and Error Rates. Accuracy and error rates for learning on a two-class and a three-class model (defined in the Methods section), using the Leave-one-out Cross Validation technique. A) A comparison of accuracy and error rates for learning on the two-class model versus the three-class model. The two-class model yields the higher area under the ROC curve and the lower Mean Absolute Errors for the C4.5 and the Naïve Bayes classifiers. B) A depiction of the error rates determined using the two-class model. The C4.5 scheme has the lowest Mean Absolute Error and Relative Absolute Error.