Search Results
| 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 logistic
Search options not deleted
user 87568
Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
1
vote
What difference it makes to normalize the features
When we are doing ML with a Logistic Regression we are essentially defining a cost function, trying "something", checking what direction the gradient that reduces the cost function is pointing, and following …
- 434
1
vote
0
answers
236
views
Getting the betas of a logistic regression tuned with CalibratedClassifierCV
Is there a way, after calibrating a logistic regression, to average out the 3 resulting logistic regressions' coefficients into a single Logit? … Note: I'm aware that there are a number of publications claiming that logistic regressions to not need to be calibrated, but I've been finding
considerable empirical evidence to the contrary in highly …
- 434