1 Data 2 Income, Balance & Default 3 Model Selection 4 Diagnosis 5 Interesting Points 6 Model Cross-Validation 7 Parameter Selection 8 Conclusion Logistic regression model is widely used for group classification. In education or social science, it has been used to classify students/individuals to different groups.
In the finance industry, logistic regression model is also quite useful to identify/classify individual’s group status (i.e. Y) according his/her other features (i.