Data Science, Linear Regression, Machine Learning, Python, Numpy.
well your model is performing. The MSE formula is: MSE = (1/m) * Σ(yi — yhat)² Where: • yhat is the predicted value for a given observation • yi is the actual value, • m is the total number of observations in the data set. The goal of linear regression is to minimize the MSE by finding the values