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Task 8: View diagnostic scores

In this task, you can view the diagnostic scores as a DataFrame to facilitate easier inspection and analysis. The diagnostic scores offer detailed insights into the performance of the trained model and allow you to evaluate various metrics in a tabular format. This makes it easier to interpret and compare different evaluation scores, such as accuracy, precision, recall, and AUC.

To view the diagnostic scores in a DataFrame, use the following command:

scores = pd.DataFrame(experiment_diagnostics.scores)
scores

The output will be a table containing the diagnostic scores. These scores can include a variety of metrics, such as:

  • Accuracy
  • Precision
  • Recall
  • AUC
  • F1 score
  • Other evaluation metrics

The DataFrame makes it easy to view and compare these scores side-by-side for detailed performance analysis.

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