5 papers
Bankruptcy Prediction via Hybrid Resampling and Stacking Ensemble Techniques with Explainable Artificial Intelligence (XAI)-Driven Analysis
Obu-Amoah Ampomah, Edmund Fosu Agyemang, Kofi Acheampong +3
This study develops and evaluates a bankruptcy prediction framework that integrates consensus-based feature selection, hybrid resampling, stacking ensembles, and explainable artifi…
Machine Learning and the Random Walk Puzzle: Forecasting the CAD/USD Exchange Rate with Expanding Window Evaluation and SHAP Interpretability
Louis Agyekum, Edmund Fosu Agyemang, Obu-Amoah Ampomah +6
This study examines whether machine learning (ML) models can outperform the naive random walk benchmark in forecasting the monthly USD/CAD exchange rate. Using daily data from the…
Enhancing Credit Default Prediction Using Boruta Feature Selection and DBSCAN Algorithm with Different Resampling Techniques
Obu-Amoah Ampomah, Edmund Agyemang, Kofi Acheampong +1
This study examines credit default prediction by comparing three techniques, namely SMOTE, SMOTE-Tomek, and ADASYN, that are commonly used to address the class imbalance problem in…
Prediction of Coffee Ratings Based On Influential Attributes Using SelectKBest and Optimal Hyperparameters
Edmund Agyemang, Lawrence Agbota, Vincent Agbenyeavu +3
This study explores the application of supervised machine learning algorithms to predict coffee ratings based on a combination of influential textual and numerical attributes extra…
A Comparative Analysis of Traditional and Deep Learning Time Series Architectures for Influenza A Infectious Disease Forecasting
Edmund F. Agyemang, Hansapani Rodrigo, Vincent Agbenyeavu
Influenza A is responsible for 290,000 to 650,000 respiratory deaths a year, though this estimate is an improvement from years past due to improvements in sanitation, healthcare pr…