I'm trying to guess a home price, at final I intend to figure out a formula by using linear regression. As you can see over the url, I have 1480 data with 45 features in which
price(fiyat) is the target variable.
Do high values for RMSE and MAE mean that the dataset cannot be trained in a good manner?
Is there a way to reduce the values? As you can see R2 seems well.
How can we say that how much percentage of error occurs for the guesses on average? If we can how much could you say?
There is really substantial difference between the prices and guesses as being seen below,