Explanation

This is a supervised learning regression problem because:

• Supervised Learning: We have labeled training data where the target variable (house price) is known for each set of features
• Regression: The target variable (price) is a continuous numerical value
• Problem Type: Predicting a continuous numerical output based on input features

Why other options are incorrect:

• Unsupervised Learning (A): Used when there are no labels/target variables, for discovering patterns or groupings
• Reinforcement Learning (B): Used for decision-making problems where an agent learns through trial and error with rewards
• Clustering (D): A type of unsupervised learning used to group similar data points together without predefined labels

Since we're predicting a continuous value (price) based on known input-output pairs, supervised learning regression is the appropriate approach.