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error in the probability of the vs the precision equals

These two phrases are not directly comparable as they convey different meanings. 'Error in the probability of the' seems incomplete and unclear, while 'the precision equals' is a complete phrase indicating a comparison or equivalence. It would be more appropriate to provide additional context or clarify the intended meaning to determine the correct usage.

Last updated: March 17, 2024 • 711 views

error in the probability of the

This phrase seems incomplete and unclear. It is not a common or correct construction in English.

This phrase lacks clarity and context. It may need additional words or information to make sense in a sentence.
  • Therefore, if the correlation was somewhere between 0.5 and 0.5 and we supposed it to be 0.0, the maximum error in the probability of the peak being reached ...
  • probability: minimize the error in the probability of the queries that is returned by the model. Fabrizio Riguzzi (). Probabilistic Logic Languages. 48 / 63 ...
  • Feb 9, 2015 ... As shown in Appendix C, infidelity leads to an addi- tive error in the probability of the verification protocols of [9] accepting an incorrect outcome.
  • slight error in the probability of the transitions to the dis- crete spectrum (of the order of several percent) alters sub- stantially the value of the denominator in (36) .

the precision equals

This phrase is correct and can be used to indicate an equality or comparison of precision.

'The precision equals' is a valid phrase to express that two values or measurements are equivalent in terms of precision.

Examples:

  • The precision equals 0.95.
  • In this case, the precision equals the accuracy.
  • The precision equals the standard deviation.
  • The precision equals the margin of error.
  • The precision equals the tolerance level.
  • And concretely, if P = 0 or R = 0, then this gives you that the F score = 0 Whereas a perfect F score, so the precision equals one and recall equals one, that will ...
  • Precision: The precision equals 1/N where N is the number of particles counted. In many instances the precision on concentration measurements may reach 7% ...
  • Sep 19, 2014 ... If a prediction is perfect, i.e. no false positives or false negatives, fp=0, fn=0 then the precision equals 1, the recall equals 1 and F1=1. On the ...
  • Oct 28, 2014 ... to generate any outputs which are above the 0.75 threshold, meaning the precision equals 0. I've successfully trained NNs before without these ...

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