Detection of Dependencies

Dependency Detection refers to identifying the relationships between variables in a dataset, aiming to reveal hidden patterns and structures through the analysis of statistical correlations and causal inference. This technique is widely applied in machine learning, data mining, and statistical analysis, enhancing the predictive power and interpretability of models, optimizing decision-making processes, and improving the robustness and reliability of systems.