Q1. [1] § Unit-3: Evaluating Models – Lesson Overview § 3.3: Accuracy and Error § Reflection Time
Statement 1 : Overfitting occurs when a model memorizes the training data rather than learning patterns.
Statement 2 : Using the same data for training and evaluation helps the model give accurate results.
- (A) Both statements are correct.
- (B) Both statements are incorrect.
- (C) Statement 1 is correct but statement 2 is incorrect.
- (D) Statement 1 is incorrect but statement 2 is correct.
Previously asked in CBSE board exam
2026 104 Q2 (iv)
Generated by claude-sonnet-4-6 · 2026-06-21 03:19 · grounding rag
Model Answer
(C) Statement 1 is correct but Statement 2 is incorrect.
Statement 1 is correct as overfitting means the model memorizes training data. Statement 2 is incorrect because using the same data for training and evaluation leads to overfitting, not accurate results.
Explanation
The source passage explicitly states: "It's not recommended to use the data we used to build the model to evaluate it… the model will simply remember the whole training set… This is known as overfitting." So Statement 2 is clearly wrong. Statement 1 matches the textbook definition of overfitting directly.
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