Critique

The article was delightful to read and a well-suited topic for our class. It was interesting to learn how SHAP for hyper-parameter value pruning in Bayesian Optimization can help to reduce dimensionality of the hyper-parameter search space. Here are a few suggestions.

• It seems unclear what Gini's importance score is and how is it calculated?
• The experimental section was thoroughly explained, however I missed which datasets were used (article mentioned size 78GB and 321 GB respectively).

Thank you for your valuable feedback.

I added a new subsection and explained how the Ginis score is computed with an example.

Also, I added a citation to how Spark's datasets were executed and more explanation in that regard.