JIO Interview Question | Gender

Question

If you’re attempting to predict a customer’s gender, and you only have 100 data points, what problems could arise?

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Dhruv2301 55 years 2 Answers 1094 views Great Grand Master 0

Answers ( 2 )

  1. ravi_joe
    1
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    – since dataset is small results may not be generalizable
    – if dataset is imbalanced then we won’t be able to predict minority class with with accuracy

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  2. Raahul
    1
    Reply

    1. Unbalanced data – foe example, a possibility that one of the genders is 90% of the data, leading to misclassification.
    2. Incomplete data- Sometimes users do not want to mention their gender, hence we may have nulls too (out of those 100 data points).
    3. Insufficient size – only 100 as the sample size would not help us build a robust model. Variance may be high (overfitting) as we might try our best to fit our model on this small data.

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