This function allows to use a custom thresholding method to maximize the Maximum F1 Score (Precision with Sensitivity harmonic mean).
metrics.f1.max(preds, labels, threshold = FALSE)
preds | Type: numeric. The predictions. |
---|---|
labels | Type: numeric. The labels (0, 1). |
threshold | Type: logical. Whether to return the threshold. Defaults to |
A one or two element vector containing the maximum Maximum F1 Score (Precision with Sensitivity harmonic mean) for binary data, and the threshold used if requested. Returns -1
in case of errors.