prob.max_precision: Probability Precision (Positive Predictive Value)
In Laurae2/Laurae: Advanced High Performance Data Science Toolbox for R
Description
Usage
Arguments
Value
Description
This function allows to use a custom thresholding method to compute the Precision (Positive Predictive Value).
Usage
1
prob.max_precision(preds, labels, thresh = 0.5)
Arguments
preds
Type: numeric. The predictions.
labels
Type: numeric. The labels (0, 1).
thresh
Type: numeric. The cutoff (threshold) probability which is deemed positive when higher or equal, or negative when lower. Defaults to 0.5 (anything higher or equal to 0.5 is positive, anything lower is negative).
Value
The Precision (Positive Predictive Value) at the provided threshold.
Laurae2/Laurae documentation built on May 8, 2019, 7:59 p.m.
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Description Usage Arguments Value
Description
This function allows to use a custom thresholding method to compute the Precision (Positive Predictive Value).
Usage
1 | prob.max_precision(preds, labels, thresh = 0.5)
|
Arguments
preds |
Type: numeric. The predictions. |
labels |
Type: numeric. The labels (0, 1). |
thresh |
Type: numeric. The cutoff (threshold) probability which is deemed positive when higher or equal, or negative when lower. Defaults to |
Value
The Precision (Positive Predictive Value) at the provided threshold.
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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