Variance is measured in squared. X Mean of the data. The mathematical formula to calculate the variance is given by.
This is a lower-case sigma squared.
Where s 2 Variance. Get the full course at. According to the original formula the variance of a random variable X is equal to the expected value of the squared difference between X and its mean. But now Im curious about the superficially similar bias-variance tradeoff equation.