| performance-class {ROCR} | R Documentation |
Object to capture the result of a performance evaluation, optionally collecting evaluations from several cross-validation or bootstrapping runs.
A performance object can capture information from four
different evaluation scenarios:
performance( predObj, 'acc' ) ). Here,
x.values contains the cutoffs, y.values the
corresponding values of the performance measure, and
alpha.values is empty.performance( predObj,
'tpr', 'fpr' ) ). In this case, the cutoffs are stored in
alpha.values, while x.values and y.values
contain the corresponding values of the two performance measures.performance( predObj, 'ecost' ) ). Here, the measure values are
stored in y.values, while the corresponding values of the
obligatory axis are stored in x.values, and alpha.values
is empty.performance( predObj, 'auc' ) ). The value is then stored in
y.values, while x.values and alpha.values are
empty.
Objects can be created by using the
performance function.
x.name:y.name:alpha.name:alpha.name is either none or cutoff.x.values:y.values:alpha.values:Tobias Sing tobias.sing@mpi-sb.mpg.de, Oliver Sander osander@mpi-sb.mpg.de
A detailed list of references can be found on the ROCR homepage at http://rocr.bioinf.mpi-sb.mpg.de.
prediction, performance,
prediction-class, plot.performance