Answer: Supervised Learning (Regression)

## 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.

Author: Ritesh Yadav