AIF-C01 · Question #345
AIF-C01 Question #345: Real Exam Question with Answer & Explanation
The correct answer is B: Supervised learning. Supervised learning is used when the dataset includes both input features (like age, cholesterol, blood pressure, etc.) and a target value indicating the presence of heart disease. The model learns to predict the target value from labeled examples.
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
Explanation
Supervised learning is used when the dataset includes both input features (like age, cholesterol, blood pressure, etc.) and a target value indicating the presence of heart disease. The model learns to predict the target value from labeled examples.
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