Machine learning hyper-parameter importance assessment method and system, and storage medium
A machine learning and hyperparameter technology, applied in the fields of instruments, computer parts, character and pattern recognition, etc., can solve the problems of wasting machine learning time, wasting user time and energy, wasting computer resources, etc.
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[0060] It should be pointed out that the following detailed descriptions are all illustrative and are intended to provide further explanations for the application. Unless otherwise indicated, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs.
[0061] The present invention makes full use of multiple data sets in the open machine learning environment OpenML and performance data of each data set under multiple algorithms, combines the meta-learning method to calculate the distance between the target data set and the historical data set, and uses the Relief algorithm And the clustering algorithm gets the importance ranking of each type of hyperparameter of the classification algorithm to be evaluated, and the ranking result is used to guide the automatic parameter adjustment process of the target data set in the classification algorithm to be evaluated. The p...
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