Training the model and making predictions

In this section, we will decide whether we will take the AutoML experiment's choice into account or not. Then we will run the final model chosen, train it, and finalize the prediction process.

The interactive choice of classifier

The notebook now displays a form where you can specify to activate the automatic process or not.

If you choose to set AutoML to On in the dropdown list, then the best model of the AutoML experiment will become the default model of the Notebook.

If not, choose Off in the AutoML dropdown list:

Figure 8.1: Activating AutoML or manually selecting a classifier

If you select Off, select the model you wish to choose for the LIME explainer in the dropdown list:

Figure 8.2: Selecting a classifier

Double-click on the form to view the code that manages the automatic process and the interactive selection:

# @title Activate the AutoML mode or
# choose a classifier in the...