Model tuning-based data analysis method, device, equipment and storage medium

Abstract

The application relates to the technical field of data analysis, and discloses a data analysis method based on model tuning, which comprises the following steps: when a model tuning control instruction is received, selecting a plurality of groups of hyperparameter combinations from hyperparameter combinations corresponding to preset type data according to a mapping relationship between data types and hyperparameter combinations; determining a target hyperparameter combination from the plurality of groups of hyperparameter combinations based on a first algorithm; constructing an initial data analysis model based on the target hyperparameter combination; performing first model variable equivalent simplification on the initial data analysis model based on a second algorithm to generate an intermediate data analysis model; performing second model variable equivalent simplification on the intermediate data analysis model based on a third algorithm to generate a target data analysis model; and calling the target data analysis model to perform data analysis on preset type data to obtain a data analysis result. The application can effectively improve the running performance of a data analysis model and the accuracy of data analysis.

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