print.fbroc.perf.paired

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) 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.
    Currently the calculation of 100000 bootstrap replicates for 500 observations 
    takes about one second.

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

Description

Usage

Arguments

Value

See Also