Method, device and system for realizing automatic hyper-parameter selection

The invention provides a method, device and system for realizing automatic hyper-parameter selection, and the method comprises the steps: obtaining a sample set, wherein each sample in the sample setcomprises corresponding data and labels; splitting the sample set into a training set and a verification set according to a preset splitting rule; performing hyper-parameter search according to a preset parameter adjustment algorithm, and performing machine learning model training based on the training set to obtain multiple groups of candidate hyper-parameter values; verifying the machine learning model corresponding to each group of candidate hyper-parameter values based on the verification set to obtain a verification score of the machine learning model corresponding to each group of candidate hyper-parameter values on the verification set; and selecting at least one group of preferred hyper-parameter values from the plurality of groups of candidate hyper-parameter values according to the verification score. 本发