How to directly plot ROC of h2o model object in R

Question

My apologies if I\'m missing something obvious. I\'ve been thoroughly enjoying working with h2o in the last few days using R interface. I would like to evaluate my model, sa

Answer 1

There is not currently a function in H2O R or Python client to plot the ROC curve directly. The roc method in Python returns the data neccessary to plot the ROC curve, but does not plot the curve itself. ROC curve plotting directly from R and Python seems like a useful thing to add, so I've created a JIRA ticket for it here: https://0xdata.atlassian.net/browse/PUBDEV-4449

The reference to the ROC curve in the docs refers to the H2O Flow GUI, which will automatically plot a ROC curve for any binary classification model in your H2O cluster. All the other items in that list are in fact available directly in R and Python, however.

If you train a model in R, you can visit the Flow interface (e.g. localhost:54321) and click on a binomial model to see it's ROC curves (training, validation and cross-validated versions). It will look like this: