17 More Must-Know Data Science Interview Questions and Answers
Bias is how far removed a model's predictions are from correctness, while variance is the degree to which these predictions vary between model iterations.
Nov-12-2017, 15:05:16 GMT
Bias is how far removed a model's predictions are from correctness, while variance is the degree to which these predictions vary between model iterations.
Nov-12-2017, 15:05:16 GMT