Causal Graph: Revision history

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    1 December 2024

    • curprev 23:1323:13, 1 December 2024‎ Dendrogram talk contribs‎ 3,695 bytes +3,695‎ 새 문서: '''Causal Graph''' is a directed graph used to represent causal relationships between variables in a dataset. Each node in the graph represents a variable, and directed edges (arrows) indicate causal influence from one variable to another. Causal graphs are widely used in causal inference, machine learning, and decision-making processes. ==Key Components of a Causal Graph== A causal graph typically consists of the following: *'''Nodes:''' Represent variables in the system (e.g.,... Tag: Visual edit
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