Machine Learning, Python, Data Science, Artificial Intelligence, Deep Learning.
is widely used and easily interpretable. Pros : 1. Same unit as the target variable. 2. It penalizes larger errors more heavily while providing a measure of average prediction accuracy. Cons : 1. It is sensitive to outliers, which can distort its value. 2. It may not be appropriate when the