xgb.max_precision: xgboost evaluation metric for maximum Precision (Positive...
In Laurae2/Laurae: Advanced High Performance Data Science Toolbox for R
Description
Usage
Arguments
Value
Description
This function allows xgboost to use a custom thresholding method to maximize the Precision (Positive Predictive Value). You can use this function via eval_metric. It leaks memory over time, but it can be reclaimed using gc().
Usage
1
xgb.max_precision(pred, dtrain)
Arguments
pred
Type: numeric. The predictions.
dtrain
Type: xgb.DMatrix. The training data.
Value
The maximum Precision (Positive Predictive Value) for binary data.
Laurae2/Laurae documentation built on May 8, 2019, 7:59 p.m.
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.
Description Usage Arguments Value
Description
This function allows xgboost to use a custom thresholding method to maximize the Precision (Positive Predictive Value). You can use this function via eval_metric. It leaks memory over time, but it can be reclaimed using gc().
Usage
1 | xgb.max_precision(pred, dtrain)
|
Arguments
pred |
Type: numeric. The predictions. |
dtrain |
Type: xgb.DMatrix. The training data. |
Value
The maximum Precision (Positive Predictive Value) for binary data.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.