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Exam Certified Machine Learning Professional All Questions

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Exam Certified Machine Learning Professional topic 1 question 2 discussion

Actual exam question from Databricks's Certified Machine Learning Professional
Question #: 2
Topic #: 1
[All Certified Machine Learning Professional Questions]

A machine learning engineer is monitoring categorical input variables for a production machine learning application. The engineer believes that missing values are becoming more prevalent in more recent data for a particular value in one of the categorical input variables.
Which of the following tools can the machine learning engineer use to assess their theory?

  • A. Kolmogorov-Smirnov (KS) test
  • B. One-way Chi-squared Test
  • C. Two-way Chi-squared Test
  • D. Jenson-Shannon distance
  • E. None of these
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
by BokNinja at Dec. 19, 2023, 5:38 a.m.

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fshb4ztm
3 weeks, 6 days ago
It seems like we want to determine if there's a statistical difference in one direction. Ex: between last month's data and new data, particularly observing more blanks for a specific categorical variable. It seems like a one-way Chi-squared Test is the most appropriate, what do you say?
upvoted 1 times
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e12ec59
3 months, 3 weeks ago
Selected Answer: B
As the question is about one input variable, so my answer would be B.
upvoted 1 times
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ThoBustos
6 months, 3 weeks ago
It seems like we want to determine if there's a statistical difference in one direction. Ex: between last month's data and new data, particularly observing more blanks for a specific categorical variable. It seems like a one-way Chi-squared Test is the most appropriate, what do you say?
upvoted 1 times
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Alishahab70
9 months, 2 weeks ago
C. Two-way Chi-squared Test This tool can help the engineer determine if there is a statistically significant association between the time period and the presence of missing values in the categorical variable.
upvoted 1 times
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ldoyle3332
10 months ago
Would the answer not be C? One-Way Chi-Squared Tests will pick up changes in the overall count of null values as a shift in distribution, even if the nulls are distributed evenly among the category values. The question specifies that they are looking for a shift in a particular class value distribution, which would be better for Two-Way Chi-Squared Test
upvoted 1 times
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hugodscarvalho
10 months ago
Selected Answer: B
Since it's just one categorical input variable over time, the one-way Chi-squared test would be the more appropriate choice.
upvoted 1 times
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BokNinja
11 months, 1 week ago
The correct answer is B. One-way Chi-squared Test. The Chi-squared test is a statistical hypothesis test that is used to determine whether there is a significant association between two categorical variables. In this case, the two variables could be the presence (or absence) of a value and the time period (old data vs. new data).
upvoted 1 times
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