Question 3
Consider a regression problem where you are tasked with predicting the sale prices of houses based on their square footage. You decide to experiment with two different models:
The training dataset consists of information on 200 houses, and you use the models to make predictions on a test dataset of 50 houses. The Mean Squared Error (MSE) is chosen as the evaluation metric.
Based on the above data, answer the given subquestions.
Considering the specific context of predicting house prices based on square footage, which model is more likely to provide accurate predictions on the training dataset?
Model P
Model Q
Both models are equally likely to provide accurate predictions
It depends on the distribution of house prices in the dataset