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Task 5: Interpret built model

To delve deeper into the classification model we've constructed, let's utilize the INTERPRET THIS MODEL button in H2O Driverless AI to generate an MLI report. This functionality is particularly valuable for enhancing machine learning interpretability, especially in regulated industries where transparency and explanation are crucial. You can interpret the model by using the generated MLI report. As a result, you can uncover valuable insights into its inner workings, such as feature importance, partial dependence plots, and other performance metrics. This process can empower you to understand better and trust the predictions made by the model.

  1. Click INTERPRET THIS MODEL.
  2. Select WITH DEFAULT SETTINGS. Generating an MLI report With default settings

After a few minutes, you can review the generated MLI report. You'll know the report is ready when the values of RUNNING and FAILED in the following button equal 0: Displaying the MLI report status

The generated MLI report includes three sections, a summary tab, a DAI model tab, and a surrogate model tab. In Task 5, you will focus on exploring the summary tab.

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