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Task 4: Interpret built model

To delve deeper into the time series 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 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. The Experiment Setup page allows you to configure your experiment by selecting the experiment type, providing a display name, and specifying the datasets for training, testing, and validation. This page also includes options to configure time series and training settings and provides access to expert settings for advanced configurations
  2. Select WITH DEFAULT SETTINGS.

After a few minutes, you can review the generated MLI report. You'll know the report is ready when the value of DONE in the following button equals 10:

Done

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