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Logistic Regression for Loan Acceptance by nuthan manideep is a document available to read on EtoBox.

What is Logistic Regression for Loan Acceptance about?

Logistic regression extends linear regression to model categorical outcome variables. It relates predictor variables to the logit or log-odds of the outcome. The logit is a linear function of the predictors that can be mapped back to a probability between 0 and 1. An example uses demographic and bank customer data to predict the probability of accepting a personal loan using a single logistic regression model.

Author

nuthan manideep

Language

EN