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?

in progress 0
Dhruv2301 55 years 2 Answers 1048 views Great Grand Master 0

Answers ( 2 )

  1. – 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

    admin /moderators can add further points and any feedback or suggestion is appreciated

  2. 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.

Leave an answer

Browse
Browse