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Logistic Regression

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Synonyms

Logit model

Definition

Logistic regression provides a mechanism for applying the techniques of linear regression to classification problems. It utilizes a linear regression model of the form

$$\displaystyle{z =\beta _{0} +\beta _{1}x_{1} +\beta _{2}x_{2} + \cdots +\beta _{n}x_{n}}$$

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

$$\displaystyle{P(c_{0}\vert x_{1}\ldots x_{n}) = \frac{1} {1 + e^{-z}}}$$

where c0 represents class 0.

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Recommended Reading

  • 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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