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Logistic regression provides a mechanism for applying the techniques of linear regression to classification problems. It utilizes a linear regression model of the form
where x1 to x n represent the values of the n attributes and β0 to β n represent weights. This model is mapped onto the interval [0,1] using
where c0 represents class 0.
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Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning, 2nd edn. Springer, New York
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(2017). Logistic Regression. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_951
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DOI: https://doi.org/10.1007/978-1-4899-7687-1_951
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Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-7685-7
Online ISBN: 978-1-4899-7687-1
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