print.fbroc.perf.paired

Object of class <code>fbroc.perf</code>.

further arguments passed to or from other methods.

Prints the information about the bootstrap results for an object of class
<code>fbroc.perf.paired</code>. This information includes the number of bootstrap
replicates, the metric used and estimates for both the individual classifiers and the
difference in performance including confidence intervals. Finally, an estimate for the 
correlation between the performance estimates of the two classifiers is also given.

Implements a very fast C++ algorithm to quickly bootstrap receiver
operating characteristics (ROC) curves and derived performance metrics,
including the area under the curve (AUC) and the partial area under the curve as well as
the true and false positive rate. The analysis of paired receiver operating curves is supported as well,
so that a comparison of two predictors is possible. You can also plot the
results and calculate confidence intervals. On a typical desktop computer the time needed for
the calculation of 100000 bootstrap replicates given 500 observations requires time on the
order of magnitude of one second.

Erik Peter

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print.fbroc.perf.paired: Prints information about a `fbroc.perf.paired` object

Description

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See Also