Causal interference - Logistic regression
3 important questions on Causal interference - Logistic regression
What does the logistic regression do?
Is used to model the probability the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick.
Extended:
Can model several classes of events such as determining whether an image contains a certain object.
- each object detected would be assigned a probability between 0 and 1 and the sum adding to one
Extended:
Can model several classes of events such as determining whether an image contains a certain object.
What is logistic regression?
A statistical model that in its basic form uses a logistic function to model a binary dependent variable, although many more complex extensions exist.
What is the defining characteristic of the logistic model?
That increasing one of the independent variables multiplicatively scales the odds of the given outcome at a constant rate, with each independt variable having its own parameter;
for a binary dependent variable this generalizes the odds ratio.
for a binary dependent variable this generalizes the odds ratio.
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