Log odds understanding
Here is my understanding of one reason why we prefer log odds over odds probability. Please let me know if I got it right.
Reasons why we choose log-odds-
The range of probability values: $[0,1]$, The range of odds values: $[0,\infty]$, The range of log-odds values: $[-\infty,+\infty]$
Probability odds lie in a restricted range, while log-odds doesn't. When values lie in a restricted range, the correlation between variables falls.
Following is an example where correlation between 'Hours spent studying' 'Test score' reduced after the range was restricted.
Topic logarithmic correlation logistic-regression
Category Data Science