Web system for loans classification

We have developed an API and user interface for the R-based backend to demonstrate a classification system for defaulted/non-defaulted loans, the system is based on the following points:

• data loading and data encoding for categorical data types,
• data normalization and pre-processing,
• data sampling,
• data classification and cross-validation for robust performance estimation.

Following the data set creation/selection and model setting up, users can access detailed graphic information about the classification performance using such metrics as MSE, Kolmogorov-Smirnov statistics, and ROC curves.

Datasets, models, and evaluation results are available for CSV export.

• Data processing
• Dataset creation
• Data visualization
• CSV export