You're working on a real estate dataset where the price of the house is significantly influenced by its age and square footage. To capture this combined effect, what type of new feature could you create?
- Interaction feature
- Categorical feature with age groups
- Time-series feature
- Ordinal feature
To capture the combined effect of age and square footage on house price, you can create an interaction feature. This feature multiplies or combines the two variables to represent their interaction, allowing the model to consider how they jointly affect the target variable. An interaction feature is valuable in regression models.
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