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https://github.com/kwonnayeon/numble
A project for predicting the closure of small and medium-sized enterprises (SMEs) using predictive analytics.
https://github.com/kwonnayeon/numble
business-analytics machine-learning predictive-analytics r risk-assessment small-business team-project
Last synced: about 2 months ago
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A project for predicting the closure of small and medium-sized enterprises (SMEs) using predictive analytics.
- Host: GitHub
- URL: https://github.com/kwonnayeon/numble
- Owner: KwonNayeon
- License: mit
- Created: 2023-05-17T23:44:57.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-07T14:52:01.000Z (5 months ago)
- Last Synced: 2024-08-08T16:59:25.423Z (5 months ago)
- Topics: business-analytics, machine-learning, predictive-analytics, r, risk-assessment, small-business, team-project
- Language: R
- Homepage:
- Size: 44.3 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
# Small and Medium-sized Enterprises Closure Prediction Project
## Project Summary
This project focuses on predicting the closure of small and medium-sized enterprises (SMEs) using Business Trends and Outlook Survey Data. Key aspects include:
- **Data Utilization:** Leveraged survey data to analyze and predict SME closures.
- **Machine Learning Models:** Implemented models using R, with packages such as `randomForest`, `catboost`, and `BART`.
- **Performance Evaluation:** Assessed models with metrics like AUROC, F1 score, and accuracy.
- **Key Findings:** Highlighted the importance of including non-financial data for accurate closure predictions.
## Files Description
### `docs/`
- **`About the project in Korean.pdf`**: Comprehensive project documentation in Korean, covering the project overview, data details, ML models used, performance results, and key findings. Includes detailed preprocessing information.
- **`About the project.pdf`**: Summary of the project in English.
- **`Summary statistics.pdf`**: Contains summary statistics for the variables used in the analysis.
- **`Numble reflections.pdf`**: Reflections on the project, written in Korean, detailing insights and lessons learned.
### `code/`
- **`Numble Project.Rmd`**: R Markdown file with complete project code, from data preprocessing to model evaluation.
- **`Numble Project.R`**: R script with all code for data preprocessing, model training, and evaluation.
## Important Note
Due to a contract with the competition organization, the dataset used in this project cannot be uploaded. While the provided code will not include the dataset, it offers a comprehensive understanding of the project’s methodology and analysis.
## Contributors
- **Nayeon Kwon** - Sourcing non-financial data, data preprocessing, supporting building ML models, documentation
- **Younghoon Yoo** - Automated data preprocessing, building ML models, code optimization
## License
This project is licensed under the [MIT License](LICENSE.txt). See the [LICENSE.txt](LICENSE.txt) file for details.
Feel free to explore the repository and download the PDFs for detailed information about the Small and Medium-sized Enterprises Closure Prediction Project.