Precision: Difference between revisions
Thakshashila (talk | contribs) Created page with "= Precision = '''Precision''' is a metric used in classification tasks to measure how many of the predicted positive results are actually correct. It is also known as the '''positive predictive value'''. == Definition == :<math> \text{Precision} = \frac{TP}{TP + FP} </math> Where: * '''TP''' = True Positives – correct positive predictions * '''FP''' = False Positives – incorrect positive predictions Precision helps to answer the question: '''"Of all the items la..." |
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precision in machine learning, positive predictive value, classification metric, ML model accuracy, spam detection precision, precision formula | precision in machine learning, positive predictive value, classification metric, ML model accuracy, spam detection precision, precision formula | ||
[[Category:Artificial Intelligence]] | |||