The 365 Data Science team is proud to invite you to our own community forum. A very well built system to support your queries, questions and give the chance to show your knowledge and help others in their path of becoming Data Science specialists.
Ask
Anybody can ask a question
Answer
Anybody can answer
Vote
The best answers are voted up and moderated by our team

LL-null

Back to all questions

LL-null

9 months ago
Vote Up Vote Down
0
Votes
1
Answer

Can anybody please explain LL null intuitively or more precisely?

#, #, #
1 Answer

365 Team 9 months ago
Vote Up Vote Down
0
Votes

Hi Garrett,
 
The logit model is:
 
log(pi/1-pi) = log(odds) = beta0 + beta1*x1 + beta2*x2 + ...
 
where log(odds) is the log-odds of an event occurring (success of en event), beta0 is the intercept, and x1, x2, ... are the predictors.
 
Now, LL-Null is the log-odds of a model that has no predictors and contains just the intercept:
log(odds) = beta0
 
Therefore, LL-Null is the log-odds of success of an event, estimated without reference to any predictors.
 
Hope this helps!
Best,
The 365 Team

You must to answer this question.

Not the answer you are looking for? Browse other questions tagged #, #, #.

×
Learn Data Science
this Summer!
Get 50% OFF