About


This application leverages a diverse set of powerful machine learning models to accurately predict the insolvency for businesses, taking into account a comprehensive range of financial indicators. With our user-friendly interface, you can easily explore the prediction functionality and gain valuable insights into the financial health of businesses.

It's important to note that while our application offers powerful predictive capabilities, it is primarily intended for educational and informational purposes. The models used in this application have been trained on real-life sample data and their accuracy may vary in real-world scenarios. Therefore, it is always advisable to exercise caution and employ independent judgment when interpreting the results generated by our application.

Whether you're conducting academic research, seeking insights for business purposes, or simply exploring the world of insolvency prediction, we are committed to providing a reliable and user-friendly platform.

The data used in our application was extracted from the SABI database. It was made available by the Applied Management Research Unit (UNIAG), through an agreement protocol between UNIAG and COFACE.

Our models include:

Adaboost

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Decision Tree

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Neural Network

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Monte Carlo

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Random Forest

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Logistic Regression

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