Machine Learning Interview Cheatsheets
Cheat Sheet –Bias-Variance Tradeoff What is Bias? • Error between average model prediction and ground truth • The bias of the estimated function tells us the capacity of the underlying model to predict the values What is Variance? • Average variability in the model prediction for the given dataset • The variance of the estimated function tells you how much the function can adjust to the change in the dataset High Bias High Variance Overly-simplified Model Under-fitting High error on both test and train data Overly-complex Model Over-fitting Low error on train...