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Generalizations of Logistic Regression, Weight of Evidence, and the Gini Index for a Continuous Target Variable Taking on Probabilistic Values
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Generalizations of Logistic Regression, Weight of Evidence, and the Gini Index for a Continuous Target Variable Taking on Probabilistic Values
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Journal Article
Generalizations of Logistic Regression, Weight of Evidence, and the Gini Index for a Continuous Target Variable Taking on Probabilistic Values
2015
Overview
The author proposes original tools for improving formulas of the maximum likelihood estimation method for logistic regression, the weight of evidence formula including the information value indicator formula, and the Gini index with a view to providing the use of a continuous target variable assuming probabilistic values. The approach to the pursuance of this research consists of the application of continuous weight functions meeting certain conditions to evaluate a generalized logarithm of the likelihood function including its generalized gradient vector and generalized Hessian matrix and also the application of probability theory to generalize weight of evidence and the Gini index.
Publisher
Springer US,Springer,Springer Nature B.V
