Class 12 Computer Science · Chapter 6 · Test 4
Evaluation and Tuning
40 MCQs
40 questions · 35 min · 40 marks
Want to try first? Take the free Computer Science test: Networks Basics
Sample questions
The first 5 of 40. Try each one, then tap to see the answer.
Question 1
Model evaluation is the process of checking:
- AHow well a model performs
- BHow large a model is
- CHow fast data loads
- DHow many features exist
Show answerHide answer
Answer: A
Evaluation checks how well a model performs.
Question 2
Evaluation relies on test data that was:
- ACreated after deployment
- BUsed for tuning
- CNot used during training
- DCollected from the web
Show answerHide answer
Answer: C
Evaluation uses test data not used during training.
Question 3
Performance metrics are:
- AHardware speeds
- BTuning dials
- CTraining labels
- DMeasures used to judge a model
Show answerHide answer
Answer: D
Performance metrics measure how well a model works.
Question 4
Accuracy shows how many predictions are correct out of:
- AThe positive predictions
- BThe total predictions
- CThe training rows
- DThe false predictions
Show answerHide answer
Answer: B
Accuracy is correct predictions out of total predictions.
Question 5
The metric that measures the overall correctness of a model is:
- APrecision
- BRecall
- CAccuracy
- DF1-score
Show answerHide answer
Answer: C
Accuracy measures overall correctness.
More tests in Data and Analysis
Practise with a free account
Save your scores, see which chapters need work, and keep a notebook of every question you got wrong.