Experimental sample distribution method and device, equipment and computer readable storage medium

Abstract

The invention provides an experimental sample allocation method and device, equipment and a computer readable storage medium, and aims to allocate a random code to each experimental sample and allocate the experimental samples to an experimental group according to the random codes of the experimental samples and a preset allocation rule. The random codes are randomly distributed, the upper limit of the sample proportion of the experimental group is based on experiments included in the experimental group and experiments included in other experimental groups in the experimental layer where the experimental group is located, and therefore the sample proportion upper limits of different experimental groups can be different; the random code is smaller than the upper limit of the preset sample proportion of the experimental group; different experimental samples can be allocated to different experimental groups, and in addition, the situation that the number of the experimental samples allocated by a single experimental group is larger than the actually required number of the experimental groups can be prevented as the proportion of the experimental samples allocated by the experimental groups is smaller than the upper limit of the sample proportion of the experimental groups. Therefore, according to the method disclosed in the technical scheme provided by the invention, the use efficiency of the experimental sample can be improved.

Description

technical field [0001] The present application relates to the field of data processing, in particular to a method, device, equipment and computer-readable storage medium for distributing experimental samples. Background technique [0002] In the financial industry, a company often has multiple different financial departments, and these financial departments use their own experimental systems to conduct financial experiments. Financial experiments can be understood as using data processing strategies to process user data in order to obtain user data. Experimental results. [0003] In the prior art, for multiple experiments, all the experimental samples are usually assigned to one of the experiments first, after the experiment is completed, the experimental samples are released, and then the experimental samples are assigned to the next experiment until all the experiments are completed. Since all the experimental samples are assigned to an experimental group, some of the exp...

AI Technical Summary

Problems solved by technology

Since all the experimental samples are assigned to an experimental group, some of the experimental samples are often not used, and after the experimental samples are assigned to the experiment, the experiment takes a long time, so it takes a long time to complete all the experiments. time, so how to improve the use efficiency of experimental samples has become an urgent problem to be solved

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