Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...

The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity. The goal of a ...

Journal of Vegetation Science, Vol. 21, No. 6 (December 2010), pp. 1152-1161 (10 pages) Question: We provide a method to calculate the power of ordinal regression models for detecting temporal trends ...