✍🏻 Credit risk modelling

Credir scoring model

soon

Application score (A-Score)

• TitanicAppModel.ipynb: Using Titanic dataset in the concept of application score.

Behaviour score (B-Score)

• factorsCreation.ipynb: The initial stage of behaviour scoring model development is to create behaviour factors.
• modifySampling.ipynb: Shared idea for sampling construction, which integrated default experience condition.
• SMOTESampling.ipynb: The over sampling method using SMOTE to overcome imbalance target in the dataset.

Model validation

• scoringEvaluationMetrics.ipynb: Scoring model evaluation metrics to measure scoring model peformance.