Classification Metrics: Revision history

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    4 November 2024

    • curprev 12:0512:05, 4 November 2024‎ 핵톤 talk contribs‎ 3,024 bytes +3,024‎ Created page with "'''Classification metrics''' are evaluation measures used to assess the performance of classification models in machine learning and data science. These metrics help determine how well a model can predict the correct class labels, particularly in supervised learning tasks. ==Common Classification Metrics== There are several widely used classification metrics, each serving different aspects of model performance: *'''Accuracy''': Measures the ratio of correct predictions t..." Tag: Visual edit
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