Mean absolute error

Mean Absolute Error (MAE) is a way of measuring how different sets of numbers are from each other. It looks at each number in one set and compares it to the numbers in a second set and finds the difference between them. It then adds up all the differences and divides the total by the number of numbers. This gives us the Mean Absolute Error. It’s useful for measuring things like how accurate an prediction is, or how far away numbers in two sets are from each other.