翻訳と辞書 Words near each other ・ Classification of pneumonia ・ Classification of Pygmy languages ・ Classification of railway accidents ・ Classification of Romance languages ・ Classification of Saint-Émilion wine ・ Classification of silicate minerals ・ Classification of swords ・ Classification of the Cactaceae ・ Classification of the Functions of Government ・ Classification of the sciences (Peirce) ・ Classification of Thracian ・ Classification of transsexual people ・ Classification of Types of Construction ・ Classification of wine ・ Classification Research Group ・ Classification rule ・ Classification scheme ・ Classification schemes for indigenous languages of the Americas ・ Classification schemes for Southeast Asian languages ・ Classification society ・ Classification System for Serial Criminal Patterns ・ Classification theorem ・ Classification theory ・ Classification Tree Method ・ Classification yard ・ Classifications of fairies ・ Classifications of poor used in the Poor Law system ・ Classifications of religious movements ・ Classifications of scholarship ・ Classificatory disputes about art Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Classification rule ： ウィキペディア英語版 Classification rule Given a population whose members can be potentially separated into a number of different sets or classes, a classification rule is a procedure in which the elements of the population set are each assigned to one of the classes.〔(Mathworld article for statistical test )〕 A perfect test is such that every element in the population is assigned to the class it really belongs. An imperfect test is such that some errors appear, and then statistical analysis must be applied to analyse the classification. A special kind of classification rule are binary classifications. == Testing classification rules == Having a dataset consisting in couples ''x'' and ''y'', where ''x'' is each element of the population and ''y'' the class it belongs to, a classification rule can be considered as a function that assigns its class to each element. A binary classification is such that the label ''y'' can take only one of two values. A classification rule or classifier is a function ''h'' that can be evaluated for any possible value of ''x'', specifically, given the data $\backslash$, ''h''(''x'') will yields a similar classification $\backslash hat=h(x),$ as close as possible to the true group label ''y''. The true labels ''yi'' can be known but will not necessarily match their approximations $\backslash hat=h(x\_i)$. In a binary classification, the elements that are not correctly classified are named false positives and false negatives. Some classification rules are static functions. Others can be computer programs. A computer classifier can be able to learn or can implement static classification rules. For a training data-set, the true labels ''yj'' are unknown, but it is a prime target for the classification procedure that the approximation :$\backslash hat=h(x\_j)\; \backslash approx\; y\_j$ as well as possible, where the quality of this approximation needs to be judged on the basis of the statistical or probabilistic properties of the overall population from which future observations will be drawn. Given a classification rule, a classification test is the result of applying the rule to a finite sample of the initial data set. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Classification rule」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.