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Oracle Exam 1Z0-1122-23 Topic 3 Question 23 Discussion

Actual exam question for Oracle's 1Z0-1122-23 exam
Question #: 23
Topic #: 3
[All 1Z0-1122-23 Questions]

What is the difference between classification and regression in Supervised Machine Learning?

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Suggested Answer: A

Classification and regression are two subtypes of supervised learning in machine learning. The main difference between them is the type of output variable they deal with. Classification assigns data points to discrete categories based on some criteria or rules. For example, classifying emails into spam or not spam based on their content is a classification problem because the output variable is binary (spam or not spam). Regression predicts continuous values for data points based on their input features. For example, predicting house prices based on their size, location, amenities, etc., is a regression problem because the output variable is continuous (house price). Classification and regression use different types of algorithms and metrics to evaluate their performance.Reference::Oracle Cloud Infrastructure AI - Machine Learning Concepts,Classification vs Regression in Machine Learning | by ...


by Lyda at Jul 10, 2024, 04:06 AM

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Josue
4 months ago
I'm going with A. Gotta love those clear-cut definitions. Regression is for predicting numbers, classification is for sorting things into groups. Simple as that!
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Nettie
3 months ago
That's right! Classification is for categories and regression is for continuous values.
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Bernardine
4 months ago
A) Classification assigns data points to categories, whereas regression predicts continuous values.
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Blair
4 months ago
B) Classification and regression both predict continuous values? What is this, some kind of trick question? Everyone knows that's not true.
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Audria
3 months ago
A) Yes, exactly. Classification and regression serve different purposes in Supervised Machine Learning.
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Brynn
3 months ago
B) No, that's not true. Classification and regression are different. Classification assigns data points to categories, while regression predicts continuous values.
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Serina
4 months ago
A) Classification assigns data points to categories, whereas regression predicts continuous values.
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Von
4 months ago
So, classification and regression have different purposes in Supervised Machine Learning.
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Shayne
4 months ago
Yes, that's correct. Classification is for categories and regression is for continuous values.
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Marva
4 months ago
D) Classification and regression both assign data points to categories? Haha, that's a good one! Clearly the person who wrote that option doesn't know their machine learning basics.
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Claudio
4 months ago
Ah, I knew it! Classification is for categorical outcomes, and regression is for continuous ones. Easy peasy!
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Rory
3 months ago
No, actually classification assigns data points to categories while regression predicts continuous values.
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Beckie
4 months ago
B) Classification and regression both predict continuous values.
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Nilsa
4 months ago
Yes, that's correct! Classification is for categories and regression is for continuous values.
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Margot
4 months ago
A) Classification assigns data points to categories, whereas regression predicts continuous values.
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Kallie
5 months ago
I agree with Minna. Regression predicts continuous values, right?
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Myra
5 months ago
A) Classification assigns data points to categories, whereas regression predicts continuous values. This is the correct answer, it's a clear distinction between the two techniques.
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Haley
5 months ago
B) Classification and regression both predict continuous values.
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Olive
5 months ago
A) Classification assigns data points to categories, whereas regression predicts continuous values.
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Minna
5 months ago
I think the difference is that classification assigns data points to categories.
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