Target Prediction

Target prediction, the task of accurately forecasting a specific outcome variable, is a core problem across numerous scientific disciplines and applications. Current research emphasizes improving prediction accuracy and uncertainty quantification, exploring diverse model architectures like neural networks, random forests, and boosted regression models, and investigating optimal scoring rules for evaluating model performance, particularly in multivariate settings. These advancements are crucial for enhancing the reliability and interpretability of predictions in fields ranging from knowledge graph completion and speech processing to financial forecasting and environmental monitoring.