Oracle Cloud Infrastructure 2024 Data Science Professional Quiz 01 15Nov24 - Practice Quiz

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Question 1 of 30

In a project aimed at predicting customer churn for a subscription service, you discover that a significant portion of your dataset has missing values in the \'last_purchase_date\' feature. What is the most effective approach to handle these missing values while ensuring the integrity of your predictive model?

Use imputation techniques to fill in the missing values based on the average time since the last purchase for customers with similar profiles.

Remove all records with missing 'last_purchase_date' values to maintain a clean dataset for analysis.

Create a new binary feature indicating whether the 'last_purchase_date' is missing, allowing the model to learn from the absence of this information.

Utilize a machine learning algorithm that can inherently handle missing values without any preprocessing.

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