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I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.
The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity.
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.
Ji Zhu, Trevor Hastie, Kernel Logistic Regression and the Import Vector Machine, Journal of Computational and Graphical Statistics, Vol. 14, No. 1 (Mar., 2005), pp. 185-205 ...
Logistic regression analysis of high-dimensional data, such as natural language text, poses computational and statistical challenges. Maximum likelihood estimation often fails in these applications.
The LOGISTIC and PROBIT procedures can perform logistic and ordinal logistic regression. See Chapter 5, "Introduction to Categorical Data Analysis Procedures," Chapter 39, "The LOGISTIC Procedure," ...
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