- It is a predictive modeling technique.
- It estimates the relationship between dependent and independent variables.
- It is used when the output is in binary format(discrete or in categorical format) whereas linear regression is used when the output is continuous in range.
- Logistic regression curve converts any value to discrete values.
- There is a threshold that segregates the output as positive or negative(0 or 1).
- It comes under the category of Supervised Learning under classification.