Using the log of the target variable simplifies the model and speeds up training time.

Using the log of the target variable transforms the problem into a classification task.

Using the log of the target variable changes the scale of the predictions and error metrics, requiring adjustments such as exponentiating the RMSE to interpret the results in the original scale.

Using the log of the target variable has no impact on the model's performance or the interpretation of the results.