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Evaluation method and device of machine learning model, computer equipment and medium

A machine learning model and machine learning technology, applied in machine learning, computer components, calculations, etc., can solve problems such as high difficulty in processing machine learning models and difficulties for enterprises to make decisions about machine learning models, so as to improve data mining productivity and reduce The effect of building a threshold

Pending Publication Date: 2022-07-22
北京科杰科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a machine learning model evaluation method, device, computer equipment, and media to solve the problem that machine learning model-related technologies are difficult to process, and it is difficult for enterprises to decide which machine learning model is suitable for their own development. To improve the efficiency and accuracy of enterprises choosing machine modules suitable for their own data processing and mining

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  • Evaluation method and device of machine learning model, computer equipment and medium
  • Evaluation method and device of machine learning model, computer equipment and medium
  • Evaluation method and device of machine learning model, computer equipment and medium

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Embodiment Construction

[0053] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0054] The evaluation method of the machine learning model provided by the embodiment of the present invention can be applied to, for example, figure 1In the application environment of , the evaluation method of the machine learning model is applied in the evaluation system of the machine learning model, and the evaluation system of the machine learning model includes a client and a server, wherein the client communicates with the server thro...

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Abstract

The invention discloses an evaluation method and device for a machine learning model, computer equipment and a medium, and the method comprises the steps: obtaining a model evaluation request which comprises a data source, a machine learning method and a target training feature group; preprocessing the data source to obtain model input data; training a machine learning model corresponding to the machine learning method based on the model input data and the training feature group to obtain a trained machine model; and performing machine model evaluation on the training machine model based on model input data, and obtaining a model evaluation result. The method provides a highly automatic and easy-to-use machine learning algorithm platform, helps a user to quickly and accurately construct and deploy a high-precision machine learning model, reduces a machine learning model construction threshold, and improves the user experience. And the data mining productivity is improved.

Description

technical field [0001] The present invention relates to the technical field of computer applications, and in particular, to a method, device, computer equipment and medium for evaluating a machine learning model. Background technique [0002] The arrival of 5G communication has fully opened up a new era of Industry 4.0, and enterprises have generated massive amounts of data in the process of accelerating informatization. Enterprise intelligent decision-making analysis on massive data can make the data form considerable value. Enterprise intelligent decision analysis requires the help of machine learning models to obtain the results of prediction and judgment of enterprise data, and calculate relevant values ​​such as enterprise risk to understand the health status of the enterprise. Therefore, enterprises urgently need AI (Artificial Intelligence, artificial intelligence) machine learning models to improve output efficiency. [0003] The threshold for using machine learnin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N20/00
CPCG06N20/00G06F18/214
Inventor 谭竞成于洋高经郡
Owner 北京科杰科技有限公司