performance-class {ROCR}R Documentation

Class performance

Description

Object to capture the result of a performance evaluation, optionally collecting evaluations from several cross-validation or bootstrapping runs.

Details

A performance object can capture information from four different evaluation scenarios:

Slots

x.name

Performance measure used for the x axis.

y.name

Performance measure used for the y axis.

alpha.name

Name of the unit that is used to create the parametrized curve. Currently, curves can only be parametrized by cutoff, so alpha.name is either none or cutoff.

x.values

A list in which each entry contains the x values of the curve of this particular cross-validation run. x.values[[i]], y.values[[i]], and alpha.values[[i]] correspond to each other.

y.values

A list in which each entry contains the y values of the curve of this particular cross-validation run.

alpha.values

A list in which each entry contains the cutoff values of the curve of this particular cross-validation run.

Objects from the Class

Objects can be created by using the performance function.

Author(s)

Tobias Sing tobias.sing@gmail.com, Oliver Sander osander@gmail.com

References

A detailed list of references can be found on the ROCR homepage at http://rocr.bioinf.mpi-sb.mpg.de.

See Also

prediction performance, prediction-class, plot.performance


[Package ROCR version 1.0-11 Index]