AceStack AI

Tech Screening

Class imbalance

A classifier reaches 99.8 percent accuracy on an imbalanced dataset. How would you show whether it has any product value?

What this task practices

Class imbalance is a tech screening interview exercise that trains prompt interpretation, explicit assumptions, a concrete response, and a clear explanation of tradeoffs. The catalog marks it as medium difficulty. It focuses on Validation, Tradeoffs, Technical Reasoning. The signed-in workspace provides the tools for the round and evaluates the attempt against task-specific criteria. Reference solutions, hidden checks, evaluator instructions, and candidate work remain private.

Sign in to startThe workspace and evaluation open after sign in.