Logistic regression is another supervised learning technique, which is basically a probabilistic classification model. It is mainly used in predicting a binary predictor, such as whether a customer is going to churn or if a credit card transaction is fraudulent.
Logistic regression uses logistics. A logistic function is a very useful function that can take any value from a negative infinity to a positive infinity, and output values from
1. Hence, it is interpretable as a probability. The following is the logistic function that generates predicted values from
1 based on the dependent
Here, x will be the independent ...