Class 12 Computer Science · Chapter 6 · Test 3
Building ML Models
36 MCQs
36 questions · 30 min · 36 marks
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Sample questions
The first 5 of 36. Try each one, then tap to see the answer.
Question 1
Feature engineering is used to:
- ADelete data
- BImprove data for better model performance
- CStore data
- DVisualise data
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Answer: B
Feature engineering improves data so that models learn better.
Question 2
Train-test split is used to:
- ADelete data
- BDivide data for training and testing
- CStore data
- DVisualise data
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Answer: B
The data is divided into training and testing sets.
Question 3
Building a machine learning model involves:
- ASeveral clear steps
- BA fixed formula
- CA single training run
- DA manual calculation
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Answer: A
Building a model follows several clear steps.
Question 4
In the grade prediction example the first step is to:
- APlot the results
- BTest the model
- CDelete old records
- DCollect data about students
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Answer: D
Data about students is collected first.
Question 5
Which of these is listed as data collected for grade prediction?
- AHair colour
- BQuiz marks
- CShoe size
- DSeat number
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Answer: B
Attendance and quiz marks and assignment scores and study hours are collected.
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