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 26664
Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
1
vote
1
answer
687
views
How to increase McFadden score and choose proper predictor for binary logistic regression
This is my first modelling indeed so I need your kind help!
Model goal: Generating a predicted surface for forest-loss
Model input variables: Response variable is just coded 1(loss) or 0(not loss) a …
- 113
0
votes
1
answer
119
views
Logistic regression coefficients are wildly
I have run a logistic regression after variable subsetting using LASSO in glmnet( glmnet.cv,100 fold cross validation for $\lambda\ min estimation) but model summary is as below:
Call:
glm(formula = expression_logit_binom_mdl …
- 113