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4 changes: 4 additions & 0 deletions _questions/machine-learning-zoomcamp/module-2/Computing RMSE on Validation Data
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Hello! I was watching the ML Zoomcamp 2.10 video on Youtube - Computing RMSE on Validation Data and have several questions on RMSE implementation:

1) Would RMSE still be the most appropriate metric if our dataset has some strong outliers or a skewed target distribution?
2) How stable is our RMSE across different validation folds or random seeds? Should we average it over multiple runs to get a more reliable estimate?