Data Science Statistics
Precision refers to the degree of consistency and reproducibility of measurements or predictions. In the context of model evaluation, precision is a measure of how many true positive results occur in comparison to the total number of positive predictions made by a model. It connects to the overall accuracy and reliability of models, ensuring that they yield trustworthy results when making predictions or classifications.
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