Preparing Practice Exam…
Please wait a moment while the system generates the exam questions, answers, and study session.
Please wait a moment while the system generates the exam questions, answers, and study session.
Question 27 of 103
Free Preview · 103 of 342 · questions 1–103 of 342 are free. Sign up free to sync your progress across devices.
Select one answer.
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
I think the best option is B. D could be an option but what if the feature is very correlated to the result ?
B: combine the dependent features. It is more like PCA (principal component analysis). D: could be the answer, but what if that feature is very important, or how often do you get a feature with more than 50% NULL values?
I am not into ML, to be honest, so I will rely on community opinion and choose B