Tag: logistic
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The Machine Learning “Advent Calendar” Day 12: Logistic Regression in Excel
The Machine Learning “Advent Calendar” Day 12: Logistic Regression in Excel In this article, we rebuild Logistic Regression step by step directly in Excel. Starting from a binary dataset, we explore why linear regression struggles as a classifier, how the logistic function fixes these issues, and how log-loss naturally appears from the likelihood. With a…
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When Pattern-by-Pattern Works: Theoretical and Empirical Insights for Logistic Models with Missing Values
When Pattern-by-Pattern Works: Theoretical and Empirical Insights for Logistic Models with Missing Values arXiv:2507.13024v1 Announce Type: new Abstract: Predicting a response with partially missing inputs remains a challenging task even in parametric models, since parameter estimation in itself is not sufficient to predict on partially observed inputs. Several works study prediction in linear models. In…
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Exploring the Proportional Odds Model for Ordinal Logistic Regression
Exploring the Proportional Odds Model for Ordinal Logistic Regression Understanding and Implementing Brant’s Tests in Ordinal Logistic Regression with Python The post Exploring the Proportional Odds Model for Ordinal Logistic Regression appeared first on Towards Data Science. JUNIOR JUMBONG Go to original source
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An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits
An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits arXiv:2412.02861v1 Announce Type: new Abstract: We study the performance of the Thompson Sampling algorithm for logistic bandit problems, where the agent receives binary rewards with probabilities determined by a logistic function $exp(beta langle a, theta rangle)/(1+exp(beta langle a, theta rangle))$. We focus on the setting where…