MLS-C01 · Question #152
MLS-C01 Question #152: Real Exam Question with Answer & Explanation
Sign in or unlock MLS-C01 to reveal the answer and full explanation for question #152. The question stem and answer options stay visible for context.
Question
A Machine Learning Specialist is developing a regression model to predict ticket sales for an upcoming concert. The historical ticket sales data consists of more than 1,000 records containing 20 numerical variables. During the exploratory data analysis phase, the Specialist discovered 33 records have values for a numerical variable in the far right of the box plot's upper quartile. The Specialist confirmed with a business user that those values are unusual, but plausible. There are also 70 records where another numerical variable is blank. What should the Specialist do to correct these problems?
Options
- ADrop the unusual records and replace the blank values with the mean value
- BNormalize unusual data and create a separate Boolean variable for blank values
- CDrop the unusua records and fill in the blank values with 0.
- DUse unusual data and create a separate Boolean variable for blank values
Unlock MLS-C01 to see the answer
You've previewed enough free MLS-C01 questions. Unlock MLS-C01 for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.