Agentic AI - Agent Observability
You have a model with 10,000 predictions and 500 errors. After failure analysis, you find 200 errors caused by mislabeled data. What is the corrected error rate after fixing labels?
You have a model with 10,000 predictions and 500 errors. After failure analysis, you find 200 errors caused by mislabeled data. What is the corrected error rate after fixing labels?
hard📝 Application Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Calculate original error rate
Original errors = 500, total = 10,000, so error rate = 500/10,000 = 0.05Step 2: Remove errors due to mislabeled data
Corrected errors = 500 - 200 = 300Step 3: Calculate corrected error rate
Corrected error rate = 300 / 10,000 = 0.03Final Answer:
0.03 -> Option CQuick Check:
(500-200)/10000 = 0.03 [OK]
Quick Trick: Subtract mislabeled errors before dividing [OK]
Common Mistakes:
- Not removing mislabeled errors
- Dividing mislabeled errors by total
- Adding mislabeled errors instead of subtracting
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