In this project, customers' demographic and behavioral data is available and the aim is to predict the probability of default. The target variable is "class" which takes value as "Good" and "Bad". The aim is to build a credit risk scorecard (just a set of probability values) based on the sample data provided.
True 0 | True 1 | |
---|---|---|
Predicted 0 | 166 | 134 |
Predicted 1 | 67 | 633 |