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Laurae (version 0.0.0.9001)

xgb.max_specificity: xgboost evaluation metric for maximum Specificity (True Negative Rate)

Description

This function allows xgboost to use a custom thresholding method to maximize the Specificity (True Negative Rate) You can use this function via eval_metric. It leaks memory over time, but it can be reclaimed using gc().

Usage

xgb.max_specificity(pred, dtrain)

Arguments

pred
Type: numeric. The predictions.
dtrain
Type: xgb.DMatrix. The training data.

Value

The maximum Specificity (True Negative Rate) for binary data.