While building a predictive model, median imputations are performed while preparing the training data.
How should the imputations be addressed in the validation data?
Suggested Answer: C
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13 comments · newest first
GA
Gaynell
12 months ago
D sounds a bit excessive, why use both datasets?
JA
Janessa
12 months ago
B is the way to go, consistency is crucial!
TR
Tracie
1 year ago
Wait, are we really not recalculating for validation? That seems off.
EM
Emeline
1 year ago
I think C makes more sense, recalculating is key.
GA
Gary
1 year ago
Definitely B, you can't just ignore the imputed values!
RE
Reena
1 year ago
I thought we learned that imputation should be consistent across datasets, so I lean towards option B, but I’m a bit confused about the details.
EL
Elvis
1 year ago
I feel like recalculating the imputed values for the validation data could lead to inconsistencies, but I can't recall if that's what we were taught.
JU
Justa
1 year ago
I remember practicing a question where we had to apply the same imputation method to both datasets, so I think option B makes sense here.
AL
Alana
1 year ago
I think we should use the same imputed values from the training data for the validation data, but I'm not entirely sure if that's the right approach.
CA
Cathrine
1 year ago
Wait, I'm confused. I thought the ROI settings were more about financial metrics like time lost and annual analyst salary. Let me re-read the question and options carefully.
KR
Krystina
1 year ago
The last option about the page being bound to the model sounds like a key requirement. I'll make sure I have that concept down.
CA
Cathern
1 year ago
This seems like a straightforward question about data management policies. I'll focus on the key phrase "mitigate the high cost of retrieving electronic evidence" and think about what policies could help with that.
LY
Lynette
1 year ago
I practiced a similar question where we had to balance efficiency with complexity. I think using MST is a valid choice, but I really can't recall why.