RMSE Explained – Theme Park Definition

RMSE (Root Mean Square Error) measures prediction accuracy by squaring each error before averaging, then taking the square root. This means large errors — say, being 40 minutes off on a queue — contribute far more to the RMSE than a 5-minute miss would. RMSE is always equal to or larger than MAE for the same dataset.

For park.fan, a large gap between RMSE and MAE signals that the model occasionally has big misses on specific rides or days, even if most predictions are close. A small gap means errors are consistently spread without extreme outliers. Both metrics are shown live on the homepage so you can see exactly how the model is performing right now.