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Exam Certified Machine Learning Associate All Questions

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Exam Certified Machine Learning Associate topic 1 question 50 discussion

Actual exam question from Databricks's Certified Machine Learning Associate
Question #: 50
Topic #: 1
[All Certified Machine Learning Associate Questions]

A data scientist uses 3-fold cross-validation and the following hyperparameter grid when optimizing model hyperparameters via grid search for a classification problem:
Hyperparameter 1: [2, 5, 10]
Hyperparameter 2: [50, 100]
Which of the following represents the number of machine learning models that can be trained in parallel during this process?

  • A. 3
  • B. 5
  • C. 6
  • D. 18
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Suggested Answer: D 🗳️

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nizare
2 months, 1 week ago
Correct Answer: D The number of machine learning models that can be trained in parallel during this process is determined by the total number of hyperparameter combinations. Hyperparameter 1 has 3 values: ([2, 5, 10]) Hyperparameter 2 has 2 values: ([50, 100]) The total number of combinations is (3 \times 2 = 6). However, because 3-fold cross-validation is used, each combination is evaluated 3 times, resulting in (6 \times 3 = 18) model evaluations.
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