Unbalanced data classification model training method, device and equipment and storage medium
A technology for model training and data classification, applied in the field of information processing, can solve problems such as inaccurate classification, and achieve the effect of reducing storage space, reducing false positive rate, and enhancing impact.
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[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention 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 them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0028] The unbalanced data classification model training method provided by the present invention can be applied in such as figure 1 In the application environment, the application environment includes a server and a preset sample library, wherein the preset sample library is a database storing unbalanced data; the server is a computer device for training unbalanced data, and the server can be a server or A server cluster; the server and the preset sam...
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