generatePrecisionRecallCurve: Generate a standard Precision/Recall plot
In ivanliu1989/RQuant: A collection of generic functions
Description
Usage
Arguments
Value
See Also
Examples
View source: R/binaryClassification.R
Description
Evaluate a model with a Precision vs Recall plot
Usage
1
generatePrecisionRecallCurve(pred, header = "")
Arguments
pred
A prediction object.
header
An optional string to add to the plot title
Value
A ggplot
See Also
Examples
1
2
3
4
5
set.seed(1234)
probs <- pnorm(rnorm(100,-1,1))
actuals <- rbinom(100,1,probs)
pred <- prediction(probs, actuals)
generatePrecisionRecallCurve(pred, header = "A Model")
ivanliu1989/RQuant documentation built on Sept. 13, 2019, 11:53 a.m.
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Description Usage Arguments Value See Also Examples
View source: R/binaryClassification.R
Description
Evaluate a model with a Precision vs Recall plot
Usage
1 | generatePrecisionRecallCurve(pred, header = "")
|
Arguments
pred |
A |
header |
An optional string to add to the plot title |
Value
A ggplot
See Also
Examples
1 2 3 4 5 | set.seed(1234)
probs <- pnorm(rnorm(100,-1,1))
actuals <- rbinom(100,1,probs)
pred <- prediction(probs, actuals)
generatePrecisionRecallCurve(pred, header = "A Model")
|
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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