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Microsoft AI-900 Exam - Topic 5 Question 76 Discussion

What is an example of a regression model in machine learning?
C) predicting the sale price of a house based on historical data, the size of the house, and the number of bedrooms in the house
A) dividing the student data in a dataset based on the age of the students and their educational achievements
B) identifying subtypes of spam email by examining a large collection of emails that were flagged by users
D) identifying population counts of endangered animals by analyzing images

Microsoft AI-900 Exam - Topic 5 Question 76 Discussion

Actual exam question for Microsoft's AI-900 exam
Question #: 76
Topic #: 5
[All AI-900 Questions]

What is an example of a regression model in machine learning?

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Suggested Answer: C

by Elinore at Sep 17, 2024, 07:14 PM

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An
6 months ago
C is spot on! House prices are all about those factors.
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Chaya
6 months ago
I thought regression was only for numerical data, not sure about D.
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Joesph
7 months ago
Wait, isn't A also a type of regression?
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Kizzy
7 months ago
Totally agree, C makes the most sense here.
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Raina
7 months ago
C is a classic example of regression!
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Mitzie
7 months ago
I’m a bit confused. Isn’t option D more related to image recognition? I feel like C is the best fit for a regression model.
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Fredric
8 months ago
Option A sounds like it’s more about classification than regression. I think I’ve seen similar questions before, and they usually focus on predicting values.
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Angelyn
8 months ago
I remember practicing with examples like predicting prices, but I’m not completely sure if that’s the only type of regression.
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Quinn
8 months ago
I think regression models are all about predicting continuous outcomes, right? So, I’m leaning towards option C.
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Chaya
8 months ago
I think option C is the right answer here. Predicting a continuous target variable (house price) from input features is a textbook example of a regression model. The other options seem to be describing classification or clustering tasks rather than regression.
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Telma
8 months ago
Option C looks like the best fit for a regression model example. Predicting a continuous numerical value (house price) based on input features is a classic regression problem in machine learning. The other options seem more like classification tasks.
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Rasheeda
8 months ago
Hmm, I'm not totally sure about this one. I know regression models are used for predicting numerical outcomes, but I'm not confident I can identify the best example from these options. I'll have to think it through carefully.
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Ashleigh
8 months ago
This one seems pretty straightforward. I'd go with option C - predicting house sale prices based on historical data, size, and number of bedrooms. That's a classic example of a regression model in machine learning.
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Ronny
8 months ago
Hmm, I'm not too familiar with the CNCF and the projects it includes. I'll have to think this one through carefully.
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Marci
2 years ago
C is the clear winner here. Although I do wonder if the house prices in my neighborhood follow a linear model - seems more like a chaotic mess if you ask me!
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Chantay
2 years ago
Hmm, I was thinking B sounded good, but I guess that's more of a classification problem. Regression is where it's at for predicting numeric values.
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Anissa
2 years ago
C) predicting the sale price of a house based on historical data, the size of the house, and the number of bedrooms in the house
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Tracey
2 years ago
A) dividing the student data in a dataset based on the age of the students and their educational achievements
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Carmen
2 years ago
I agree, C is the way to go. Regression is all about modeling numeric outcomes, not categorical ones like the other options.
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Gregoria
2 years ago
Yeah, that option seems more about classification rather than regression.
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Lindsay
2 years ago
A) dividing the student data in a dataset based on the age of the students and their educational achievements
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Van
2 years ago
That makes sense, regression models are great for predicting numerical values.
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Eugene
2 years ago
C) predicting the sale price of a house based on historical data, the size of the house, and the number of bedrooms in the house
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Sylvia
2 years ago
I'm not sure, but I think it could also be A. Dividing student data based on age and achievements seems like regression too.
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Portia
2 years ago
Option C seems like the most relevant example of a regression model. Predicting a continuous variable like house price based on features like size and number of bedrooms is classic regression.
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Christa
2 years ago
It's all about predicting a continuous value based on various features.
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Denae
2 years ago
I agree, that example fits the definition of a regression model.
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Marjory
2 years ago
C) predicting the sale price of a house based on historical data, the size of the house, and the number of bedrooms in the house
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Deeanna
2 years ago
I agree with Celeste, predicting house prices is a common example of regression.
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Celeste
2 years ago
I think the answer is C.
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