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Section checkpoint · 10

Hyperparameter Optimisation

Use this short test to check whether the main ideas from the section are connected in your mind. A strong score means you can recognise the concepts; revisit linked lessons when an answer feels uncertain.

5questionsTarget: 4/5 or better

Question 11 point

Which concept is most appropriate for this situation: You need to apply the idea taught in “Search Space Design” and explain how its input is transformed into a valid output.

Random SearchTpe IntuitionGrid SearchSearch Space Design

Question 21 point

Which concept is most appropriate for this situation: You need to choose model settings using validation evidence rather than the final test set.

Grid SearchRandom SearchBayesian OptimisationHyperband Intuition

Question 31 point

Which concept is most appropriate for this situation: You need to apply the idea taught in “Tpe Intuition” and explain how its input is transformed into a valid output.

Tpe IntuitionHyperband IntuitionBayesian OptimisationRandom Search

Question 41 point

Which concept is most appropriate for this situation: You need to apply the idea taught in “Successive Halving” and explain how its input is transformed into a valid output.

Multi Metric TuningRandom SearchTpe IntuitionSuccessive Halving

Question 51 point

Which concept is most appropriate for this situation: You need to apply the idea taught in “Multi Metric Tuning” and explain how its input is transformed into a valid output.

Search Space DesignGrid SearchSuccessive HalvingMulti Metric Tuning