Evaluating Model Precision and Future Data Directions for Bankruptcy Prediction
21 Oct 2025
AutoML emerges as a scalable, cost‑efficient approach to streamline financial forecasting across modern investment analytics.
Model Design and Comparative Metrics for Bankruptcy Prediction in Imbalanced Datasets
21 Oct 2025
Oversampling improved every model’s performance, with the neural network and AutoML achieving superior recall and F‑scores.
Data Collection and Analysis for Machine Learning‑Based Bankruptcy Prediction
21 Oct 2025
Correlation and outlier analysis revealed key bankruptcy indicators such as Debt Ratio %, Expenses/Assets, and Cash / Current Liability.
Addressing Data Imbalance in Bankruptcy Prediction: Comparative Literature Insights
21 Oct 2025
Ensemble and gradient‑boosting methods performed best in prior studies, but even advanced models struggled with low default rates.
Can Machines Spot Rising Stars? Exploring AI‑Driven Insight into Fallen Angel Bonds
21 Oct 2025
Despite mixed predictive results, AutoML consistently performed best, and feature selection proved efficient without major accuracy loss.