plot_roclike: Plot ROC-like Curve
In clarewest/RFQAmodelr: Random Forest Quality Assessment
Description
Usage
Arguments
Details
Description
Plot a ROC-like curve, showing True Positives vs False Positive Rate. This
is necessary when the total number of true positives differs between
methods, i.e. when looking at the highest-ranking model per target.
Usage
1
plot_roclike(rocresults)
Arguments
rocresults
The object output from plot_roc(), which includes
the ROC plot, results, list of features, and the maximum number of targets
with at least one correct model.
Details
This function requires the object output from plot_roc().
clarewest/RFQAmodelr documentation built on Jan. 25, 2020, 12:42 a.m.
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Description Usage Arguments Details
Description
Plot a ROC-like curve, showing True Positives vs False Positive Rate. This is necessary when the total number of true positives differs between methods, i.e. when looking at the highest-ranking model per target.
Usage
1 | plot_roclike(rocresults)
|
Arguments
rocresults |
The object output from |
Details
This function requires the object output from plot_roc().
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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