Performance Metrics For Regression Task

1. Mean Squared Error (MSE) Explanation Mean Squared Error (MSE) measures the average squared difference between estimated and actual values. It gives higher weight to larger errors due to squaring. Mathematical Formula MSE = (1/n) * ∑[(y_i - ŷ_i)^2]...