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Q14 Single choice

A machine learning engineer working for an Energy Distributor wants to perform a time-series forecast of critical turbines sensor measures.

Here is the feature set under consideration:

The machine learning engineer creates a first model and gets a higher than expected RMSE. They believe the model can be improved using data imputation. They will use data science best practices for imputation.

Which data imputation strategy is most likely to enhance the dataset's quality and predictive performance?

A
For sensor type use mode, for temperature and vibration use mean (per day).
B
They can just remove all out of range values and missing values from the training set.
C
For sensor type use mode, for temperature use median (per day) and for vibration use mean (per day).
D
For sensor type use mode, for temperature use mean (per day) and for vibration use median (per day).

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