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Which of the following is the correct way to calculate error rate given total_predictions and wrong_predictions?

easy📝 Syntax Q12 of 15
Agentic AI - Agent Observability
Which of the following is the correct way to calculate error rate given total_predictions and wrong_predictions?
Aerror_rate = total_predictions / wrong_predictions
Berror_rate = total_predictions - wrong_predictions
Cerror_rate = wrong_predictions * total_predictions
Derror_rate = wrong_predictions / total_predictions
Step-by-Step Solution
Solution:
  1. Step 1: Recall error rate formula

    Error rate is the fraction of wrong predictions out of all predictions made.
  2. Step 2: Match formula to options

    error_rate = wrong_predictions / total_predictions correctly divides wrong predictions by total predictions to get error rate.
  3. Final Answer:

    error_rate = wrong_predictions / total_predictions -> Option D
  4. Quick Check:

    Error rate = wrong / total [OK]
Quick Trick: Divide wrong predictions by total predictions [OK]
Common Mistakes:
  • Reversing numerator and denominator
  • Multiplying instead of dividing
  • Subtracting counts instead of dividing

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