GLOSSARY TERM
What is Mean Squared Error?
A common loss function for regression tasks calculating average squared differences.
MSE penalizes larger errors exponentially more than smaller ones by squaring the difference between predicted and actual values. It pushes models to minimize severe outliers during continuous value estimation tasks.
Regression Optimization
Train highly accurate continuous predictive models seamlessly via MLOps.