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 …
r - Difference between logit and probit models - Cross Validated
Mar 27, 2015 · What is the difference between Logit and Probit model? I'm more interested here in knowing when to use logistic regression, and when to use Probit. If there is any literature …
r - When to remove insignificant variables? - Cross Validated
Jun 18, 2019 · Typically, when you use logistic regression in a business setting, both inferential information about the variables used along with a good prediction are what stakeholders are …
Logistic Regression: Scikit Learn vs Statsmodels
Mar 26, 2016 · It is the exact opposite actually - statsmodels does not include the intercept by default. See the SO threads Coefficients for Logistic Regression scikit-learn vs statsmodels …
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 …
How to interpret anova(model, test = “Chisq”) for logistic …
Oct 7, 2021 · I’m new to logistic regression and was hoping for some help in picking a "best fit model". Say I have a group of students who are assigned a job after college. Everyone …
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 …
Model Selection: Logistic Regression - Cross Validated
Mar 7, 2014 · Using model diagnostic techniques, like gung suggests, are a good means of evaluating your variable selection choices You should also be using a combination of subject …
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 …
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 …