ROCR (version 1.0-7)

prediction-class: Class "prediction"

Description

Object to encapsulate numerical predictions together with the corresponding true class labels, optionally collecting predictions and labels for several cross-validation or bootstrapping runs.

Objects from the Class

Objects can be created by using the prediction function.

Slots

predictions:

A list, in which each element is a vector of predictions (the list has length > 1 for x-validation data.)

labels:

Analogously, a list in which each element is a vector of true class labels.

cutoffs:

A list in which each element is a vector of all necessary cutoffs. Each cutoff vector consists of the predicted scores (duplicates removed), in descending order.

fp:

A list in which each element is a vector of the number (not the rate!) of false positives induced by the cutoffs given in the corresponding 'cutoffs' list entry.

tp:

As fp, but for true positives.

tn:

As fp, but for true negatives.

fn:

As fp, but for false negatives.

n.pos:

A list in which each element contains the number of positive samples in the given x-validation run.

n.neg:

As n.pos, but for negative samples.

n.pos.pred:

A list in which each element is a vector of the number of samples predicted as positive at the cutoffs given in the corresponding 'cutoffs' entry.

n.neg.pred:

As n.pos.pred, but for negatively predicted samples.

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, performance-class, plot.performance