Precision (Data Science): Revision history

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    3 November 2024

    • curprev 21:5821:58, 3 November 2024‎ 핵톤 talk contribs‎ 2,396 bytes +2,396‎ Created page with "'''Precision''' is a metric used in data science, particularly in classification problems, to measure the accuracy of positive predictions. It is defined as the ratio of true positive predictions to the sum of true positive and false positive predictions, offering insights into the model's performance in correctly identifying positive instances. ==Definition== Precision is calculated as: :'''<big>Precision = True Positives / (True Positives + False Positives)</big>''' Th..." Tag: Visual edit
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