Assertion: bias | /r/HasProperty | important
Facets:
value: in statistics
type: OTHER
value: equally
type: DEGREE
value: in machine learning
type: OTHER
value: in this case
type: OTHER
Source sentences:
text: In these cases, long run averages are irrelevant, what is important is the performance of the model on the data you actually have and in this case bias and variance are equally important and one should not be improved at an excessive expense to the other.
text: Bias is important, not just in statistics and machine learning, but in other areas like philosophy, psychology, and business too.