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Exercise

Coarse to Fine Iterations

You will now visualize the first random search undertaken, construct a tighter grid and check the results. You will have available:

  • results_df - a DataFrame that has the hyperparameter combination and the resulting accuracy of all 500 trials. Only the hyperparameters that had the strongest visualizations from the previous exercise are included (max_depth and learn_rate)
  • visualize_first() - This function takes no arguments but will visualize each of your hyperparameters against accuracy for your first random search.
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  • Use the visualize_first() function to check the values of max_depth and learn_rate that tend to perform better. A convenient red line will be added to make this explicit.