Posted On: Feb 25, 2020
In Python, logistic regression is a predictive analysis method and is also employed in machine learning for binary classification. It is a way to analyze a data-set that has a dependent variable and one or more independent variables to foretell the outcome in a binary variable, indicating it will have two outcomes. Logistic regression is an exceptional case of linear regression where only the outcome is predicted in a categorical variable. It divines the likelihood of the event using the log function. We use the Sigmoid function to prognosticate the categorical value and the threshold value decides the outcome.
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