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Exam AI-900 topic 1 question 86 discussion

Actual exam question from Microsoft's AI-900
Question #: 86
Topic #: 1
[All AI-900 Questions]

What is a use case for classification?

  • A. predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.
  • B. analyzing the contents of images and grouping images that have similar colors
  • C. predicting whether someone uses a bicycle to travel to work based on the distance from home to work
  • D. predicting how many minutes it will take someone to run a race based on past race times
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Suggested Answer: C 🗳️
by ashayk at Oct. 2, 2020, 10:48 p.m.

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ashayk
Highly Voted 3 years, 3 months ago
this sis wrong again. Grouping of objects with similar colors is clustering and not classification. Classification is point 3 where we will predict whether the person will go to office by cycle (answer - yes or no - hence clasification) depending on the distance
upvoted 70 times
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gargaditya
Highly Voted 3 years, 2 months ago
Incorrect answer, correct answer is C. A refers to regression. B refers to Clustering C refers to Classification D refers to Regression
upvoted 55 times
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rdemontis
Most Recent 7 months, 3 weeks ago
Selected Answer: C
correct answer and explanation
upvoted 5 times
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alexein74
8 months, 1 week ago
Selected Answer: C
C is correct
upvoted 4 times
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Omergamliel
9 months, 3 weeks ago
classification > yes / no
upvoted 2 times
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sisiDev
10 months, 3 weeks ago
Selected Answer: C
RESPOSTA C
upvoted 1 times
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techgate
1 year, 5 months ago
C correct
upvoted 2 times
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baciga
1 year, 9 months ago
Selected Answer: C
C is correct
upvoted 1 times
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TJ001
2 years ago
hint to discard wrong answers -> all "how many" maps to scalar and hence regression
upvoted 1 times
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WindowAFX
2 years, 1 month ago
C is correct and now highlighted so. Going by comments wasn't before
upvoted 2 times
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KNMnguni
2 years, 2 months ago
The easiest way I have found, to differentiate between the cases is: Regression: "How" (Predicting "How many", "How much") quantifying a numerical output. Classification: "Either or" (Predicting which class something falls under) labels available. Clustering: "Groups/Grouping" (Grouping according to features) labels unavailable.
upvoted 4 times
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ABDESSATTAR
2 years, 3 months ago
BECAUSE the grouping of image is base in their colour ( in advance known parameter ) it's a classification , Cluster is base in unknow parameter or feauture
upvoted 1 times
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Ati1362
2 years, 7 months ago
C is correct, Classification.
upvoted 2 times
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Ati1362
2 years, 7 months ago
regression, clustering, classification, regression.
upvoted 1 times
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Omas
2 years, 8 months ago
All the answers except option B seems to be examples of classification.
upvoted 1 times
AjeeshMohamed
2 years, 6 months ago
No, A & D are examples of Regression
upvoted 1 times
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sabderushikesh
2 years, 8 months ago
answer should be C
upvoted 3 times
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Babuni
2 years, 8 months ago
1. Regression 2. Clustering 3. Classification 4. Regression
upvoted 1 times
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C (25%)
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