roc_plot: roc_plot
In classifierplots: Generates a Visualization of Classifier Performance as a Grid of Diagnostic Plots
Description
Produces a smoothed ROC curve as a ggplot2 plot object. A confidence interval is produced using bootstrapping, although it is turned off by default if you have a large dataset.
Usage
1
Arguments
test.y
List of know labels on the test set
pred.prob
List of probability predictions on the test set
resamps
How many bootstrap samples to use
force_bootstrap
True/False to force or force off bootstrapping.
classifierplots documentation built on Jan. 13, 2021, 5:23 p.m.
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Description
Produces a smoothed ROC curve as a ggplot2 plot object. A confidence interval is produced using bootstrapping, although it is turned off by default if you have a large dataset.
Usage
1 |
Arguments
test.y |
List of know labels on the test set |
pred.prob |
List of probability predictions on the test set |
resamps |
How many bootstrap samples to use |
force_bootstrap |
True/False to force or force off bootstrapping. |
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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