Machine Learning, Programming, Data Science, Statistics, Technology.
irreducible error of the model. More specifically, the error in the supervised Machine Learning model is equal to the sum of the Variance of the model, squared Bias, and the irreducible error of the model. So, mathematically, the error in the supervised model is equal to squared Bias in the model,