rocr_ens: Receiver Operator Characteristic Curve calculations
In zsiders/EnsembleRandomForests: Ensemble Random Forests
rocr_ens R Documentation
Receiver Operator Characteristic Curve calculations
Description
A function to calculate various ROC curve performance metrics given model predictions and the oberved samples
Usage
rocr_ens(predictions, samples)
Arguments
predictions
Random Forest predictions (or any probability)
samples
The original observations (must be a factor)
Value
A list containing all the various ROC curve performance metrics
Examples
predictions <- rbeta(100, 4, 4)
samples <- rbinom(100, 1, 0.5)
rocr <- rocr_ens(predictions, samples)
rocr$auc
str(rocr)
zsiders/EnsembleRandomForests documentation built on Oct. 8, 2024, 11:41 p.m.
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| rocr_ens | R Documentation |
Receiver Operator Characteristic Curve calculations
Description
A function to calculate various ROC curve performance metrics given model predictions and the oberved samples
Usage
rocr_ens(predictions, samples)
Arguments
predictions |
Random Forest predictions (or any probability) |
samples |
The original observations (must be a factor) |
Value
A list containing all the various ROC curve performance metrics
Examples
predictions <- rbeta(100, 4, 4)
samples <- rbinom(100, 1, 0.5)
rocr <- rocr_ens(predictions, samples)
rocr$auc
str(rocr)
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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