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
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?