Mini toolsDefinition
The average of the squared differences between predicted and actual values. Emphasizes larger errors due to squaring.
Detailed Explanation
MSE is calculated by taking the average of the squared differences between predicted and actual values. The squaring operation ensures all terms are positive and gives more weight to larger errors. It's particularly sensitive to outliers and provides a quadratic loss function.
Use Cases
Common in regression problems like house price prediction, weather forecasting, and financial modeling.
