Default threshold in cross-validation metrics - h2o R package

Question

I created an cartesian grid of GBMs using h2o package in R and saved cross-validation metrics for each model in a data frame. So, for each model, I stored the results given in model@model$cross_validation_metrics_summary.

What is the threshold used to calculate F1 and F2 scores, precision, recall and specificity in model@model$cross_validation_metrics_summary? Is there a default value?

Answer 1

you can get the threshold for a specific metric by using:

find_threshold_by_max_metric

api documentation is here