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They asked how I would handle a highly imbalanced dataset for a classification problem, specifically asking which evaluation metrics I would prioritize over accuracy to ensure the model effectively detects the minority class.
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Data Scientist Intern

Interviewed at Boston Consulting Group

4.2★
Dec 26, 2025

They asked how I would handle a highly imbalanced dataset for a classification problem, specifically asking which evaluation metrics I would prioritize over accuracy to ensure the model effectively detects the minority class.

1. Predictive maintenance case - if you have more time how will you explain to a client how you'll improve a model 2. Random forest - if you have a noisy dataset (lots of features that don't matter) whats the probability of the 2 features of interest being present in any single tree that randomly selects 50 features out of 100
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Data Scientist Intern

Interviewed at Boston Consulting Group

4.2★
Feb 9, 2026

1. Predictive maintenance case - if you have more time how will you explain to a client how you'll improve a model 2. Random forest - if you have a noisy dataset (lots of features that don't matter) whats the probability of the 2 features of interest being present in any single tree that randomly selects 50 features out of 100

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