SAMPLE ANALYSIS METHOD, APPARATUS, ELECTRONIC DEVICE, AND MEDIUM BASED ON MISSING DATA

摘要

Provided are a sample analysis method, apparatus, electronic device, and medium based on missing data, relating to big data technology, said method comprising: obtaining a missing data set and a corresponding label value, calculating the saturation of each missing data dimension in the missing data set, selecting missing data dimensions whose saturation is greater than a preset saturation, and generating a feature dimension list (S1); calculating a coefficient of correlation between each missing data dimension in the feature dimension list and the label value, and selecting missing data dimensions whose correlation coefficient is greater than a preset correlation coefficient to obtain a target missing-data dimension set (S2); modeling the target missing-data dimension set using a preset data missing insensitivity algorithm to generate a missing data insensitive model (S3); using the missing data insensitivity model to perform data analysis on a sample data set to be analyzed to obtain an analysis result (S4). In addition, the invention also relates to blockchain technology; the selected missing-data dimension can be stored in the blockchain. The method can solve the problem of inaccurate sample analysis caused by missing data.