Is Logistic Regression a classification or prediction model?
Jun 30, 2023 · In this forum, there are opposite opinions(1), (2) on the uses of logistic regression. Ones say, it is a classification model and others say it is a prediction model. Therefore, the question that I...
Computing the variance explained by a predictor variable in logistic ...
Sep 20, 2023 · 3 I'm keen to know how to compute the variance explained by a particular predictor variable in the model (say component specific R squared). I went through Calculate variance …
What do the residuals in a logistic regression mean?
In my book Regression Modeling Strategies I downplay the use of residuals in logistic regression because (1) logistic regression makes no distributional assumptions and (2) there are more direct …
Walk through `rms::calibrate` for logistic regression
Jan 26, 2022 · The calibrate function in the rms R package allows us to compare the probability values predicted by a logistic regression model to the true probability values. This is easy enough: just plot …
Why is logistic regression a linear model? - Cross Validated
Mar 3, 2014 · I want to know why logistic regression is called a linear model. It uses a sigmoid function, which is not linear. So why is logistic regression a linear model?
logistic - Regression with only categorical variables - Cross Validated
Is it possible to conduct a regression if all dependent and independent variables are categorical variables?
How to test for goodness of fit for a logistic regression model?
Dec 25, 2016 · 8 I would like to assess the goodness of fit of a logistic regression model I'm working on. I've done a lot of research and happened to find likelihood ratio test, chi-squared test, Hosmer and …
regression - McFadden's Pseudo-$R^2$ Interpretation - Cross Validated
Apr 27, 2020 · I have a binary logistic regression model with a McFadden's pseudo R-squared of 0.192 with a dependent variable called payment (1 = payment and 0 = no payment). What is the …
credit scoring - How to convert coefficients of logistic regression ...
Jan 14, 2021 · I have built a logistic regression model which takes a dataframe of dummy values as an input and produces binary classification (0 for accept, 1 for default). I have already split all variables …
Calculating confidence intervals for a logistic regression
Jul 2, 2018 · I'm using a binomial logistic regression to identify if exposure to has_x or has_y impacts the likelihood that a user will click on something. My model is the following: fit = glm (formula = has_cli...