Hierarchy
In data science, hierarchy refers to the arrangement of data or information in a structured and organized manner, where each level represents a different degree of abstraction or detail. Hierarchy is commonly used in data modeling, data visualization, and data analysis to represent complex relationships between data entities. Hierarchical structures are often represented as trees, where each node represents a data entity and its children represent its sub-entities. Hierarchy can also refer to the organization of machine learning models, where models are arranged in a hierarchical structure to improve their performance and efficiency.
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