WORKFLOW to test new data

Hi!

I would need some help with my new idea of workflow.

Since now, I was testing my data with different H2O models. My workflow was designed to predict if patients were going to have an illness or not.

In this picture, it is shown how I splited my data with the H2O Partitioning node in 75% for training (red) and 25% for testing (blue). The training dataset is aimed to optimse the parameters for each model. The remaining testing data got results for the accuracy and other statistical parameters to prove whether the model is good or not to predict my output. Now, I would like to predict the output of a new patient (new row) which I do not know the result. Do you know how can I do it?

I would really appreciate your help.

Thank you!