Web system for loans classification
AWS-based API and web interface for performance demonstration of various machine learning algorithms.
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
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