Mean Squared Error
Domain: Math & Logic for AI
🎯 Motivation
The average of squared errors. Penalizes large errors more than small ones.
📋 Concrete Example
Errors of 2 and 4: squared to 4 and 16, averaged to 10. The 4-error dominates.
🔗 Analogy
Like a test that punishes big mistakes extra hard - a 10-point miss hurts more than five 2-point misses.