Q1. [1] § 3.1: Importance of Model Evaluation § 3.3: Accuracy and Error § Assertion and reasoning-based questions
______ is one of the parameter for evaluating a model's performance and is defined as the fraction of positive cases that are correctly identified.
- (a) Precision
- (b) Accuracy
- (c) Recall
- (d) F1
Previously asked in CBSE board exam
2024 104 Q3 (i)
Generated by claude-sonnet-4-6 · 2026-06-21 03:18 · grounding rag
Model Answer
(c) Recall — Recall is defined as the fraction of positive cases that are correctly identified by the model.
Explanation
Recall (also called sensitivity) = TP / (TP + FN). It measures how many actual positives were correctly caught. Precision focuses on correctness of positive predictions; Accuracy covers overall correct predictions; F1 balances precision and recall.
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