This class of objects is returned by the function
and represents the validation
of a nearest centroid predictor in a random validation protocol.
Objects of this class have methods for the function
Objects can be created by calls of the form
describe objects here
Numerical vector containing the numbers features that are used for classification.
Character string specifying the feature selection method. Possible values are "cor", "student.test", "welch.test", "wilcoxon.test", "foldchange", "copa", "os", "ort", "shift", "throw".
Character string specifiying the method for calculation of the distance between test samples and the centroids. Possible values are "euclidean", "angle", "cor", "center".
The number of samples in the training set.
The number of repetitions for each training set size.
Hyperparameter needed for some of the feature selection methods. For methods copa, ors and os: Quantile (e.g. 0.75, 0.9, 0.95) used in order to detect outliers. For methods shift and throw: the minimum number of samples in each class after applying shift or throw.
A list containing the total, the class1 and the class2 misclassification rates.
Contains information, how often each of the genes was selected for a predictor.
Numeric matrix containing the classification rates for each of the samples.
Numerical or character vector containing the class membership of the samples.
Feature annotations inherited from the ExpressionSet.
There are three
plot methods for visualization of the validation results.
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