Reading the Completed Experiment Page in Driverless AI

This lesson tours the Experiments tab in Driverless AI, showing the information available for each run, including the target column, dataset, the accuracy, time, and interpretability settings used, the scorer, and the training and test scores. It covers the options in the three-dot menu, such as opening an experiment, creating an interpretation, retraining, or exporting, then opens a completed baseline experiment to show what becomes available once status shows complete: interpreting the model, downloading predictions and logs, and downloading the scoring pipeline.