Time series based features for binary classification

Question

Is it possible (and how?) to provide time series for binary classification in H2O.ai's Driverless AI? I have dataframe that looks like this:

• ID
• Status/Target [0/1]
• TimeStamp for events that happened on given ID, in last 90 days
• Details of those events (category, description, values, etc...)

Ideally what i want is to build a model that predict status for given ID, based on provided history of events.

Answer 1

For H2O's Driverless AI, you can use it out of the box for time-series modeling. See this section. You need to provide the "Time Column" as your TimeStamp and add ID to your "Time Groups Column".

If your target column is 0s or 1s, then it should automatically identify it as binary. If you not, you can toggle it from regression to binary classification.