The difference between variance and bias

Variance is closely related to overfitting. High variance is usually caused by training a powerful model but with limited data, in other words, training with different sets of data would result in a different model.

Bias is closely related to underfitting. High bias is often caused by using a less powerful model.

原文地址:https://www.cnblogs.com/bettybear/p/6730569.html