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词汇 example_english_binary-classification
释义

binary classification

collocation in English

meanings of binaryand classification


These words are often used together. Click on the links below to explore the meanings. Or, see other collocations with classification.
binary
adjective
uk /ˈbaɪ.nər.i/ us /ˈbaɪ.ner.i/
mathematics, computingspecialized
using a system of numbers that uses only 0 ...
See more at binary
classification
noun
uk /ˌklæs.ɪ.fɪˈkeɪ.ʃən/ us /ˌklæs.ə.fəˈkeɪ.ʃən/
the act or process of dividing things into groups according to ...
See more at classification


Examples of binary classification


These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
The approach achieved an accuracy of approximately 80% on the binaryclassification task.
The two algorithms are tested on a binaryclassification problem.
This permitted a binaryclassification of observed compliance.
However, the binaryclassification on each measure generated risk groups with only limited overlap.
The binaryclassification of "alcoholic" or "not alcoholic" does not carry enough information to adequately characterize differences in the natural history of the disorder.
Mayhew denies that a binaryclassification of elections, as realigning or insignificant, can be made.
Since many classification methods have been developed specifically for binaryclassification, multiclass classification often requires the combined use of multiple binary classifiers.
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Here logistic regression is being used as a binaryclassification model.
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We can determine the keyphrases by looking at binaryclassification decisions or probabilities returned from our learned model.
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In binaryclassification, a better understood task, only two classes are involved, whereas multiclass classification involves assigning an object to one of several classes.
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Wikipedia

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In binaryclassification, recall is often called sensitivity.
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Some classifiers make a binaryclassification for a test example, while others assign a probability of being a keyphrase.
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Let us consider a two-class prediction problem (binaryclassification), in which the outcomes are labeled either as positive ("p") or negative ("n").
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Binaryclassification methods include probit regression and logistic regression.
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In binaryclassification, precision is analogous to positive predictive value.
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Problem transformation methods transform the multi-label problem into a set of binary classification problems, which can then be handled using single-class classifiers.
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For example, for binaryclassification problems, each case in the validation set is either predicted correctly or incorrectly.
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A binaryclassification is such that the label "y" can take only a two values.
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An example of learning which is not inductive would be in the case of binaryclassification, where the inputs tend to cluster in two groups.
From
Wikipedia

This example is from Wikipedia and may be reused under a CC BY-SA license.
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
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