Skip to main content
Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Code code:"if (foo != bar)"
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Saves in:saves
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with
Search options not deleted user 334546

In predictive modeling, unbiased models can have higher variance, & thus be less accurate. Modelers may prefer some bias to maximize accuracy. Use this tag also for questions about the bias-variance decomposition.

1 vote
0 answers
73 views

Bias vs. variance

I have a question about bias/variance trade-off for different competing models. Say one has estimated model A and model B and calculated their respective train and test error. How does one yield an in …
alphaH's user avatar
  • 37
1 vote
1 answer
1k views

Lasso vs Ridge Regression

My question relates on the Ridge vs Lasso Regression. I know the difference in the cost function (ridge penalizes sum of quadratic coefficients, lasso penalizes sum of absolute value of coefficients). …
alphaH's user avatar
  • 37