Which supervised-learning classification/regression statement is correct?

The correct answer is B. Deciding whether an object is a bicycle or a motorcycle is a classification problem. The ISTQB CT-AI syllabus explains supervised learning under Section1.6 - Machine Learning Approaches. It defines classification as predicting categorical labels, where as regression predicts continuous numerical values. OptionB--deciding whether an object is a bicycle or a…

Machine Learning (ML)

Question

Options

ARecognizing a dog from many different images is a regression problem
BDeciding whether an object is a bicycle or a motorcycle is a classification problem
CPredicting that diesel prices will increase by ~10% is a classification problem
DIn classification, objects are always assigned to exactly two classes

How the community answered

(30 responses)

A
3% (1)
B
80% (24)
C
3% (1)
D
13% (4)

Explanation

The ISTQB CT-AI syllabus explains supervised learning under Section1.6 - Machine Learning Approaches. It defines classification as predicting categorical labels, where as regression predicts continuous numerical values. OptionB--deciding whether an object is a bicycle or a motorcycle-- fits the definition of classification precisely because the model chooses between discrete categories. The syllabus also uses similar examples to illustrate classification tasks, reinforcing that this is the correct interpretation.

Topics

#classification#regression#supervised learning#ML fundamentals

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