The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...

Imagine an operational environment in the near future. Inside a main command post, a decision is made quickly but agonizingly ...

Content-based text classification system can automatically categories the text document into predefined limited classes. But the e-mail document classification is a challenging process in the modern ...

Mehta, C.R. and Patel, N.R. (1995) Exact Logistic Regression Theory and Examples. Statistics in Medicine, 14, 2143-2160.

Logistic regression analysis, latent class growth modelling and multinomial logistic regression modelling were used in the analyses.Results Physical violence, emotional violence and controlling ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

Want to understand logistic regression? Explore our guide to learn its applications and advantages in data analysis.

An example of transform I commonly use is the MultiLabelBinarizer to get an idea. Why not make this another project / repository / plugin Adding with_factors (or something similar) to polars would ...