56. In Data Science, what is a bias-variance trade-off?
The goal of using Data Science or Machine Learning is to create a model with low bias and variance. We all know that bias and variance are errors that emerge when a model is either simple or overly sophisticated. Consequently, while developing a model, the possibility of achieving high accuracy is when there is a concrete understanding of the tradeoff between bias and variance.
