cloutput-class: "cloutput"
In chbernau/CMA: Synthesis of microarray-based classification

Object returned by one of the classifiers (functions ending with CMA)

learnind:: Vector of indices that indicates which observations where used in the learning set.
y:: Actual (true) class labels of predicted observations.
yhat:: Predicted class labels by the classifier.
prob:: A numeric matrix whose rows equals the number of predicted observations (length of y/yhat) and whose columns equal the number of different classes in the learning set. Rows add up to one. Entry j,k of this matrix contains the probability for the j-th predicted observation to belong to class k. Can be a matrix of NAs, if the classifier used does not provide any probabilities
method:: Name of the classifer used.
mode:: character, one of "binary" (if the number of classes in the learning set is two) or multiclass (if it is more than two).
model:: List containing the constructed classifiers.

show: Use show(cloutput-object) for brief information
ftable: Use ftable(cloutput-object) to obtain a confusion matrix/cross-tabulation of y vs. yhat, s. ftable,cloutput-method.
plot: Use plot(cloutput-object) to generate a probability plot of the matrix prob described above, s. plot,cloutput-method
roc: Use roc(cloutput-object) to compute the empirical ROC curve and the Area Under the Curve (AUC) based on the predicted probabilities, s.roc,cloutput-method