mean squared logarithmic error
November 18, 2022 ⚊ 1 Min read ⚊ Views 107 ⚊ BLOG
what is Mean Squared Error (MSE) and how it works behind the scene. In this article, we will try to extend and see one more variation of MSE which is known as Mean Squared Logarithmic Error (MSLE) and its works.
Now, sometimes we may encounter certain regression problems when the target value has a spread of values and when we try to predict a very large amount, we may not want to punish the model as much as we punish it as a mean squared error.
In Mean Squared Logarithmic Error (MSLE), we begin by calculating the natural logarithm of each of the predicted. Values and calculate the mean squared error, i.e., it is called the Mean Squared Logarithmic Error (MSLE).
It can also be interpreted as a measure of the ratio between the actual and predicted values.
