- 搜标题
- 搜题干
- 搜选项
单项选择题
In machine learning, there is a kind of errors that cannot be eliminated. This set of errors is often caused by data noise and randomness. When we model the data, we usually allow this kind of errors. The errors is called ()
A．Irreducible Errors.
B．Variance.
C．Bias.
D．Overfitting Errors.
B．Variance.
C．Bias.
D．Overfitting Errors.
