Technical Deep Dive, Forecasting, Data Science, Model Validation, Evaluation Metric.
This is due to the properties of logarithms, which allow the metric to evaluate the proportion between predicted and actual values. Consequently, RMSLE doesn’t overemphasise errors when the difference between actual and predicted values is substantial. To prevent undefined values, both ŷ_i and y_i