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Vibe codingMediumvc-g259
Subject Ai code reviewLevel Mid–Senior~15 minCommon in Algorithms & data structures interviewsIndustries Software development

Question

An AI wrote this evaluation for a rare-disease classifier (about 1.5% positive). It prints 98.6% accuracy and the assistant calls the model 'highly performant.' What's wrong?

python
from sklearn.metrics import accuracy_score preds = model.predict(X_test)acc = accuracy_score(y_test, preds)print(f'Accuracy: {acc:.1%}')   # Accuracy: 98.6%if acc > 0.95:    print('Model is highly performant, ship it.')
What a strong answer looks like

Treat the AI’s output as a draft to verify, not an answer to trust. Name the specific flaw and the input that triggers it, say how you’d catch it — tests, edge cases, reading critically — and how you’d re-prompt or decompose to get it right.

Learn the concepts
Describe your solution

Vibe coding: describe the solution in plain language (or narrate it) and the coach grades your approach. Generating runnable code from your description is coming next.

Run or narrate your approach, then ask the coach.