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Artificial Intelligence — CBSE Class 10 board question

Q1. [1]
It is one of the parameters for evaluating a model's performance and is defined as the percentage of true positive cases versus all the cases where the prediction is true. Which of the following evaluation parameter is this ?
  1. (A) Precision
  2. (B) Recall
  3. (C) F1 Score
  4. (D) Accuracy
Previously asked in CBSE board exam
2024 104 Q4 (iii)
Generated by claude-sonnet-4-6 · 2026-06-21 03:18 · grounding rag
Model Answer

(A) Precision

Precision is defined as the percentage of true positive cases out of all cases where the prediction is positive (predicted true).

Explanation

Precision = True Positives / (True Positives + False Positives). It measures how many of the predicted positive cases are actually positive. Recall, by contrast, measures true positives out of all actual positives. Students often confuse the two — remember: Precision is about the quality of positive predictions.

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