Plotting the relationship between the variables in a Logistic Regression will form a
sigmoid curve
stright line
none
all
Answers
Answer:
Get started
Open in app
Responses (2)
To respond to this story,
get the free Medium app.
Open in app
Suresh Kumar Palla
Suresh Kumar Palla
12 months ago
Thanks Annie :) …. I was looking for this explanation for ages
2
Abhinn Mishra
Abhinn Mishra
about 1 year ago
Regression allows us to predict an output based on some inputs. For instance, we can predicts someone’s height based on their mother’s height and father’s height. This type of regression is called linear regression because our outcome variable is a continuous real number. But what if we wanted to predict something that’s not a continuous number…
You have 2 free member-only stories left this month. Sign up for Medium and get an extra one
What’s Linear About Logistic Regression
How do we get from decision boundary to probabilities in Logistic Regression?
Annie Tran
Annie Tran
May 23, 2019·6 min read
Image for post
source
There’s already a bunch of amazing articles and videos on Logistic Regression, but it was a struggle for me to understand the connection between the probabilities and the linearity of Logistic, so I figured I would document it here for myself and for those who might be going through the same thing.
This will also shed some light on where the ‘Logistic’ part of Logistic Regression comes from!