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AIF-C01 · Question #345
A company is developing an ML model to predict heart disease risk. The model uses patient data, such as age, cholesterol, blood pressure, smoking status, and exercise habits. The dataset includes a ta
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Submitted by daniela_cl· Mar 30, 2026Fundamentals of AI and ML
Question
A company is developing an ML model to predict heart disease risk. The model uses patient data, such as age, cholesterol, blood pressure, smoking status, and exercise habits. The dataset includes a target value that indicates whether a patient has heart disease. Which ML technique will meet these requirements?
Options
- AUnsupervised learning
- BSupervised learning
- CReinforcement learning
- DSemi-supervised learning
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Topics
#supervised learning#labeled data#classification#ML techniques