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Classification method and device, storage medium and terminal

A classification method and a classification algorithm technology, applied in the computer field, can solve the problems of unsatisfactory accuracy rate and low accuracy rate, and achieve the effect of ensuring accuracy and reliability and improving the success rate of generalization

Inactive Publication Date: 2021-01-15
BEIJING SPREADTRUM HI TECH COMM TECH CO LTD
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Problems solved by technology

[0003] However, in the prior art, a single algorithm model is usually used for data classification, and the generalization accuracy of a single algorithm model is not high, only about 70%, which cannot meet the demand for higher accuracy in some scenarios

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  • Classification method and device, storage medium and terminal
  • Classification method and device, storage medium and terminal
  • Classification method and device, storage medium and terminal

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Embodiment Construction

[0021] As mentioned in the background technology, in the prior art, a single algorithm model is usually used for data classification, and the generalization accuracy of a single algorithm model is not high, only about 70%, which cannot meet the requirements for higher requirements in certain scenarios. Accuracy requirements.

[0022] The technical scheme of the present invention screens the classification results of multiple classification models, that is, selects the classification category with the largest number; since the final classification result determined at this time is the same classification category obtained by classification of multiple classification models, the final classification is guaranteed The accuracy and reliability of the results improve the generalization success rate of the classification method.

[0023] In order to make the above objects, features and advantages of the present invention more comprehensible, specific embodiments of the present inven...

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Abstract

A classification method and device, a storage medium and a terminal are provided, the classification method comprising: acquiring a plurality of classification results of a plurality of classificationmodels for the same data to be classified, each classification result comprising a classification category, the plurality of classification models being constructed using different classification algorithms; and at least selecting the classification category with the largest number in the plurality of classification results as a final classification result. According to the technical scheme, thedata classification accuracy can be improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a classification method and device, a storage medium, and a terminal. Background technique [0002] In the prior art, algorithms based on machine learning can be used to classify data. Commonly used and learning classification algorithms include: logistic regression, support vector machine (Support Vector Machine, SVM), random forest, multilayer perceptron (Multilayer Perceptron) ,MLP), Gaussian Bayesian and Bernoulli Bayesian etc. [0003] However, in the prior art, a single algorithm model is usually used for data classification, and the generalization accuracy of the single algorithm model is not high, only about 70%, which cannot meet the demand for higher accuracy in some scenarios. Contents of the invention [0004] The technical problem solved by the invention is how to improve the accuracy rate of data classification. [0005] In order to solve the above tec...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2431G06F18/214
Inventor 廖智辉
Owner BEIJING SPREADTRUM HI TECH COMM TECH CO LTD