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AI-900: Understanding Features and Labels in House Price Prediction Models

Learn the role of features and labels in predicting house prices. Explore how household income serves as a feature while house price categories act as labels for accurate model training.

Question

You have the following dataset.

You plan to use the dataset to train a model that will predict the house price categories of houses.

You plan to use the dataset to train a model that will predict the house price categories of houses. What are Household Income and House Price Category? To answer, select the appropriate option in the answer area.

NOTE: Each correct selection is worth one point.

Household Income:
A. A feature
B. A label

House Price Category:
A. A feature
B. A label

Answer

Household Income: A feature

House Price Category: A label

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump