Performance Measure
Performance measure is a metric used to evaluate the effectiveness and efficiency of a model or system in achieving its intended goals. In data science and artificial intelligence, performance measures are used to assess the accuracy and quality of predictive models, classification models, clustering models, and other machine learning algorithms. Performance measures can be quantitative or qualitative, depending on the nature of the problem and the type of data being analyzed. Common performance measures in data science include accuracy, precision, recall, F1 score, AUC-ROC, and confusion matrix. Performance measures are essential in evaluating the performance of a model and comparing it with other models to determine the best one for a particular task.
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