calculate_rroc: Regression ROC Curve calculation
In tidyhte: Tidy Estimation of Heterogeneous Treatment Effects
calculate_rroc R Documentation
Regression ROC Curve calculation
Description
This function calculates the RegressionROC Curve of
of Hernández-Orallo
\Sexpr[results=rd]{tools:::Rd_expr_doi("doi:10.1016/j.patcog.2013.06.014")}.
It provides estimates for the positive and negative
errors when predictions are shifted by a variety
of constants (which range across the domain of observed
residuals). Curves closer to the axes are, in general, to be
preferred. In general, this curve provides a simple way to
visualize the error properties of a regression model.
Usage
calculate_rroc(label, prediction, nbins = 100)
Arguments
label
True label
prediction
Model prediction of the label (out of sample)
nbins
Number of shift values to sweep over
Details
The dot shows the errors when no shift is applied, corresponding
to the base model predictions.
Value
A tibble with nbins rows.
References
Hernández-Orallo, J. (2013). ROC curves for regression.
Pattern Recognition, 46(12), 3395-3411.
tidyhte documentation built on Aug. 14, 2023, 5:08 p.m.
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| calculate_rroc | R Documentation |
Regression ROC Curve calculation
Description
This function calculates the RegressionROC Curve of of Hernández-Orallo \Sexpr[results=rd]{tools:::Rd_expr_doi("doi:10.1016/j.patcog.2013.06.014")}. It provides estimates for the positive and negative errors when predictions are shifted by a variety of constants (which range across the domain of observed residuals). Curves closer to the axes are, in general, to be preferred. In general, this curve provides a simple way to visualize the error properties of a regression model.
Usage
calculate_rroc(label, prediction, nbins = 100)
Arguments
label |
True label |
prediction |
Model prediction of the label (out of sample) |
nbins |
Number of shift values to sweep over |
Details
The dot shows the errors when no shift is applied, corresponding to the base model predictions.
Value
A tibble with nbins rows.
References
Hernández-Orallo, J. (2013). ROC curves for regression. Pattern Recognition, 46(12), 3395-3411.
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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