prtScoreRoc Generate a reciever operator characteristic curve
prtScoreRoc(DECSTATS,LABELS) plots the receiver operator
characteristic curve for the decision statistics DECSTATS and the
corresponding labels LABELS. DECSTATS must be a Nx1 vector of decision
statistics. LABELS must be a Nx1 vector of binary class labels.
[PF, PD, THRESHOLDS, AUC] = prtScoreRoc(DECSTATS,LABELS) outputs the
probability of false alarm PF, the probability of detection PD, the
THREHSOLDS required to achieved each PF and PD, and the area under the
ROC curve AUC.
[PF, PD, THRESHOLDS, AUC] = prtScoreRoc(DECSTATSMAT,LABELS) outputs
the roc outputs for each column of DECSTATSMAT using. The output
values are now cell arrays containing the outputs as if prtScoreRoc
were called on each column of DECSTATSMAT individually.
[...] = prtScoreRoc(PRTDATASETCLASS) use a prtDataSetClass as input
DECSTATS is PRTDATASETCLASS.getObservations() and LABELS is
PRTDATASETCLASS.getTargets(). If PRTDATASETCLASS.nFeatures > 1 cell
arrays are provided as outputs.
TestDataSet = prtDataGenSpiral; % Create some test and
TrainingDataSet = prtDataGenSpiral; % training data
classifier = prtClassSvm; % Create a classifier
classifier = classifier.train(TrainingDataSet); % Train
classified = run(classifier, TestDataSet);
% Plot the ROC