certifications. We employed a quantitative, cross-sectional methodology using three machine learning algorithms (Decision Tree … Classification, Random Forest, Logistic Regression) and the double machine learning technique to identify causal effects and …

false alarms. This is a challenge for machine learning owing to the extremely imbalanced data and complexity of fraud. In … addition, classical machine learning methods must be extended, minimizing expected financial losses. Finally, fraud can only be … overcome these challenges: machine learning-based fraud detection, economic optimization of machine learning results, and a …

Statistische Bundesamt hat in einer Machbarkeitsstudie untersucht, ob Machine-Learning-Modelle geeignet sind, um Daten der … much earlier. The Federal Statistical Office conducted a feasibility study to examine whether machine learning models are …

machine learning (IML), decision trees and three-stage least squares simultaneous equation methods for FDI inflow in Western … for FDI inflow. Additionally, this study shows that machine learning (ML) models can perform better than conventional …

machine learning (IML), decision trees and three-stage least squares simultaneous equation methods for FDI inflow in Western … for FDI inflow. Additionally, this study shows that machine learning (ML) models can perform better than conventional …