Intelligent auditing method based on machine learning model interpretation

Abstract

The invention belongs to the field of intelligent auditing and particularly relates to an intelligent auditing method based on machine learning model interpretation. As for most of existing auditing methods adopt a manual mode for auditing, laws, regulations and rules needing to be followed in the auditing process are updated quickly. In order to solve the problems that the auditing accuracy and reliability are influenced only by brain storage of auditors and the auditing risk is high in the prior art, the invention provides the following scheme that the method comprises the following steps: S1, inputting a to-be-audited file or data to the input end of an intelligent auditing system based on machine learning model interpretation; S2, displaying an auditing process by utilizing a machine learning model while auditing the input file or data; S3, performing visualization and business rule output on a machine learning result through a model interpretation function of machine learning. According to the invention, the auditing accuracy and reliability can be improved, and the life cycle management of the auditing rule can be perfected.

Description

technical field [0001] The invention relates to the technical field of intelligent auditing, in particular to an intelligent auditing method based on machine learning model interpretation. Background technique [0002] Machine learning (Machine Learning, ML) is a multi-field interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines. Specializing in the study of how computers simulate or implement human learning behaviors to acquire new knowledge or skills, and reorganize existing knowledge structures to continuously improve their performance. Machine learning models can be well integrated in smart auditing. [0003] Most of the existing audit methods are audited manually. The regulations and rules that need to be followed in the audit process are updated quickly and have a large scope. Only relying on auditors’ brain storage will affect the accuracy and reliability of the audi...

AI Technical Summary

Problems solved by technology

[0004] The intelligent audit method based on machine learning model interpretation proposed by the present invention solves the problem that most of the existing audit methods use manual auditing, and the laws and regulations that need to be followed in the audit process are updated quickly and in a large range, and only rely on auditors' brains to store It will affect the accuracy and reliability of the audit, and the audit risk is high

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