classres function

Results of classification

classres is used to store results classification for one or multiple classes.

classres(c.pred, c.ref = NULL, p.pred = NULL, ncomp.selected = 1)

Arguments

• c.pred: matrix with predicted values (+1 or -1) for each class.
• c.ref: matrix with reference values for each class.
• p.pred: matrix with probability values for each class.
• ncomp.selected: vector with selected number of components for each class.

Returns

• c.pred: predicted class values (+1 or -1).

• p.pred: predicted class probabilities.

• c.ref: reference (true) class values if provided.

The following fields are available only if reference values were provided. - tp: number of true positives.

• tn: number of true negatives.

• fp: nmber of false positives.

• fn: number of false negatives.

• specificity: specificity of predictions.

• sensitivity: sensitivity of predictions.

• misclassified: ratio of misclassified objects.

Details

There is no need to create a classres object manually, it is created automatically when build a classification model (e.g. using simca or plsda) or apply the model to new data. For any classification method from mdatools, a class using to represent results of classification (e.g. simcares) inherits fields and methods of classres.

See Also

Methods classres class:

showPredictions.classres	shows table with predicted values.
plotPredictions.classres	makes plot with predicted values.
plotSensitivity.classres	makes sn plot.
plotSpecificity.classres	makes specificity plot.
plotMisclassified.classres	makes ms ratio plot.
plotPerformance.classres	makes plot with misclassified ratio, specificity and sensitivity values.