Data Science, Linear Regression, Machine Learning, Python, Numpy.
Sstot is the total sum of squares (the differences between the actual values and the mean value of the dependent variable). MAE is a metric representing the average absolute difference between the predicted and actual values. It is calculated as: MAE = (1/n) * Σ|yi — yhat| Where yi is the actual