logistic-regression

Understanding Probit Regression: The Normal Alternative to Logistic

4 Sep 2025

statology.org

Learn when probit regression outperforms logistic regression for binary outcome modeling.

7 Proportional Odds Logistic Regression for Ordered Category Outcomes | Handbook of Regression Modeling in People Analytics: With Examples in R, Python and Julia

28 Jan 2025

peopleanalytics-regression-book.org

Often our outcomes will be categorical in nature, but they will also have an order to them. These are sometimes known as ordinal outcomes. Some very common examples of this include ratings of some...

Beyond Binary Classification — Breaking down Multiple Logistic Regression t

15 Feb 2024

towardsdatascience.com

MLBasics #3: From Binary to Multiclass — A Journey Through Logistic Regression Upgrades

Understanding Logistic Regression — the Odds Ratio, Sigmoid, MLE, et al

21 Oct 2022

towardsdatascience.com

Logistic regression is one of the most frequently used machine learning techniques for classification. However, though seemingly simple…

Logistic Regression: Statistics for Goodness-of-Fit

20 Oct 2022

towardsdatascience.com

Statistics in R Series: Deviance, Log-likelihood Ratio, Pseudo R² and AIC/BIC

How to Interpret the Odds Ratio with Categorical Variables in Logistic Regr

14 Oct 2022

towardsdatascience.com

An explanation of reference categories and picking the right one

3 Key Pieces of Information About Logistic Regression Algorithm

28 Mar 2021

towardsdatascience.com

It is a simple yet very efficient algorithm

logistic-regression — my Raindrop.io articles