Browsing by Subject "Best subset selection"
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Variable selection in logistic regression models through the application of exact mathematical programming
(SASA, 2020)A linearised approximation of the log-likelihood objective function is presented as a potential alternative to iterative fitting methods employed by logistic regression. The log-likelihood objective function is solved using ... -
Variable selection in logistic regression using exact optimisation approaches
(North-West University (South Africa), 2020)Logistic regression modelling has been and still remains one of the most frequently used methods for the solving of binary classifcation problems, where the target variable of interest can take on one of two values. Futher ...