Root Mean Square Error (RMSE) is a common metric used to measure the accuracy of a model’s predictions.
A lower RMSE indicates that the differences between predicted and actual values are smaller, meaning the model is more accurate.
Generally, the acceptable RMSE threshold depends on the dataset and context.
However, in most practical scenarios, an RMSE value lower than 180 is considered acceptable for a good-performing model.
If the RMSE is higher, it shows larger errors and suggests that the model may need improvement or tuning.
Model performance can be improved by better data preprocessing, parameter tuning, or selecting a better algorithm.
So, the correct answer is option (C) 180.