Machine Learning, Linear Regression, Algorithms, Data Science, Data Visualization.
Key Metrics Mean Squared Error (MSE): This is the average of the squares of the errors, i.e., the average squared difference between the estimated values and the actual value. A lower MSE indicates a better fit. Root Mean Squared Error (RMSE): This is the square root of the MSE. It’s useful because