Introduction to Logistic Regression

This Blog entry is from the Logistic Regression section in Learn R.

Logistic Regression is a modelling technique that can be used for classification where the dependent variable values are binary, 1 or 0 as such.  The dataset that is used in this section of Blog entries is available under \Bundle\Data\FraudRisk\FraudRisk.csv which contains a set of debit card transactions whereby half of the dataset is a sample of fraudulent transactions, half of the dataset is a sample of legitimate transactions.

To proceed with the subsequent procedures, it is necessary to import the file FraudRisk.csv into R.