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In common usage and linguistics, concision (also called conciseness, succinctness, [1] terseness, brevity, or laconicism) is a communication principle [2] of eliminating redundancy, [3] generally achieved by using as few words as possible in a sentence while preserving its meaning. More generally, it is achieved through the omission of parts ...
BLUF gives brevity in communication. [21] This conciseness in communication comes from placing at the start the conclusion the summarized vital information and actions. In journalistic writing, BLUF resembles the inverted pyramid structure for the latter also aims to serve the readers well by arranging the story elements in descending order of ...
Brevity is concision or brevitas, the quality of being brief or concise, or: Brevity (comic strip) , a comic strip created by Guy Endore-Kaiser and Rodd Perry Brevity code , a vocal word replacement system
Accuracy is also used as a statistical measure of how well a binary classification test correctly identifies or excludes a condition. That is, the accuracy is the proportion of correct predictions (both true positives and true negatives) among the total number of cases examined. [10]
Precision takes all retrieved documents into account. It can also be evaluated considering only the topmost results returned by the system using Precision@k. Note that the meaning and usage of "precision" in the field of information retrieval differs from the definition of accuracy and precision within other branches of science and statistics.
The Brevity law appears universal and has also been observed acoustically when word size is measured in terms of word duration. [5] 2016 evidence suggests it holds in the acoustic communication of other primates. [6] Log per-million word count as a function of wordlength (number of characters) in the Brown Corpus, illustrating Zipf's Brevity Law.
This is a list of American standardized brevity code words. The scope is limited to those brevity codes used in multiservice operations and does not include words unique to single service operations. While these codes are not authoritative in nature, all services agree to their meanings.
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).