Data Interaction

Data interaction refers to the interplay between different data points within a training dataset, aiming to evaluate their contributions by quantifying how these interactions affect model performance. The core objective of this task is to uncover complex relationships between data points, optimize the structure of the dataset, and enhance the model's generalization ability and predictive accuracy. Under a methodological framework, data interaction analysis can provide scientific evidence for model training, improving the interpretability and reliability of the model.