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Handling missing data - secondary driver characteristics in insurance data

Data Science Asked by lostwanderer on February 4, 2021

I have an insurance dataset which includes an indicator that indicates whether the policy insures a secondary driver, and the secondary driver’s age/sex. Problem is most policies do not have secondary drivers, so when preprocessing the data how should I handle the secondary driver’s age/sex – deleting those observations is not an option because about 30% of policies have secondary drivers. Should I encode the secondary driver’s age as zero?

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