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Results tagged with precision
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user 1352
Precision is about variability while accuracy (in contrast to precision) is about bias. This tag pertains to measurement or estimation; use [precision-recall] when talking about classifiers.
7
votes
Judging a model through the TP, TN, FP, and FN values
Do not use any of accuracy, precision, recall, or the F1 score. …
- 131k
4
votes
Accepted
Disadvantage of precision at k
In your example, with $k=10$, precision at $k=10$ does not change if we swap ranks 8 and 9, as we see in the bottom rows in your tables. … Conversely, precision at $k=8$ does change, because here it is not just a question of the relative position among the top $k=8$ - rather, the document either is among the top $k=8$, or it isn't. …
- 131k
4
votes
What are best practices for choosing the beta for an F-measure score?
applies completely equally to precision, recall and all F scores. Instead, use proper scoring rules. …
- 131k
2
votes
Precision vs. Accuracy when talking about MSE
So if all we know is that one estimator has lower MSE than another one, we don't know whether this is due to lower bias or lower variance (i.e., higher precision). … Or "lower MSE" when precision is required (yes, pun intended). …
- 131k
4
votes
Accepted
Exactness of p-value in testing by simulation
Suggested reading: Boos & Stefanski, "P-Value Precision and Reproducibility" (2011, The American Statistician). Also helpful: The dance of the p values. …
- 131k