Accuracy (Data Science): Revision history

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3 November 2024

  • curprev 21:5521:55, 3 November 2024‎ 핵톤 talk contribs‎ 2,101 bytes +2,101‎ Created page with "Accuracy is a metric used in data science to measure the performance of a model, particularly in classification problems. It represents the ratio of correctly predicted instances to the total number of instances. ==Definition== Accuracy is calculated as: :'''<big>Accuracy = (True Positives + True Negatives) / (Total Number of Instances)</big>''' This metric is often used in classification problems, where the goal is to determine how well a model can predict class labels...." Tag: Visual edit
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