mse rmse class 12 ai

You have trained a regression model that predicts house prices. It predicted ₹45 lakh for a house that actually sold for ₹50 lakh. That is a ₹5 lakh error. But how do you summarise errors like this across hundreds of predictions into one number that tells you how good your model really is? That is…