get_roc_curve_data: Extract the underlying data from an ROC curve
In iai: Interface to 'Interpretable AI' Modules
get_roc_curve_data R Documentation
Extract the underlying data from an ROC curve
Description
ROC curves are returned by roc_curve, e.g.
roc_curve.classification_learner
Usage
get_roc_curve_data(curve)
Arguments
curve
The curve to query.
Details
The data is returned as a list with two keys: auc giving the
area-under-the-curve, and coords containing a vector of lists
representing each point on the curve, each with keys fpr (the false
positive rate), tpr (the true positive rate) and threshold
(the threshold).
Julia Equivalent:
IAI.get_roc_curve_data
IAI Compatibility
Requires IAI version 2.1 or higher.
Examples
## Not run: iai::get_roc_curve_data(curve)
iai documentation built on Oct. 19, 2024, 1:07 a.m.
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| get_roc_curve_data | R Documentation |
Extract the underlying data from an ROC curve
Description
ROC curves are returned by roc_curve, e.g.
roc_curve.classification_learner
Usage
get_roc_curve_data(curve)
Arguments
curve |
The curve to query. |
Details
The data is returned as a list with two keys: auc giving the
area-under-the-curve, and coords containing a vector of lists
representing each point on the curve, each with keys fpr (the false
positive rate), tpr (the true positive rate) and threshold
(the threshold).
Julia Equivalent:
IAI.get_roc_curve_data
IAI Compatibility
Requires IAI version 2.1 or higher.
Examples
## Not run: iai::get_roc_curve_data(curve)
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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