How do I calculate RMSE?

How do I calculate RMSE?

RMSE stands for Root Mean Square Error. To calculate it, you first need the predicted values and the actual values.

What formula do I use for RMSE?

The formula for RMSE is: RMSE = √(Σ(Pi - Ai)² / n), where Pi is the predicted value, Ai is the actual value, and n is the number of observations.

Can you give me an example?

Sure! If your actual values are [3, -0.5, 2, 7] and predicted values are [2.5, 0.0, 2, 8], you would calculate RMSE as follows: 1. Calculate the squared differences, 2. Find the mean of those squared differences, and 3. Take the square root.

What does a lower RMSE indicate?

A lower RMSE indicates a better fit of the model to the data, meaning the predictions are closer to the actual values.