metrics.precision.max: Maximum Precision (Positive Predictive Value)
In Laurae2/LauraeDS: Laurae's Data Science Package
Description
Usage
Arguments
Value
View source: R/metrics.precision.max.R
Description
This function allows to use a custom thresholding method to maximize the Precision (Positive Predictive Value).
Usage
1
metrics.precision.max(preds, labels, threshold = FALSE)
Arguments
preds
Type: numeric. The predictions.
labels
Type: numeric. The labels (0, 1).
threshold
Type: logical. Whether to return the threshold. Defaults to FALSE.
Value
A one or two element vector containing the maximum Precision (Positive Predictive Value) for binary data, and the threshold used if requested. Returns -1 in case of errors.
Laurae2/LauraeDS documentation built on May 29, 2019, 2:25 p.m.
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Description Usage Arguments Value
View source: R/metrics.precision.max.R
Description
This function allows to use a custom thresholding method to maximize the Precision (Positive Predictive Value).
Usage
1 | metrics.precision.max(preds, labels, threshold = FALSE)
|
Arguments
preds |
Type: numeric. The predictions. |
labels |
Type: numeric. The labels (0, 1). |
threshold |
Type: logical. Whether to return the threshold. Defaults to |
Value
A one or two element vector containing the maximum Precision (Positive Predictive Value) for binary data, and the threshold used if requested. Returns -1 in case of errors.
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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