Power supply service satisfaction influence factor identification method based on decision tree algorithm

Abstract

The invention discloses a power supply service satisfaction influence factor identification method based on a decision tree algorithm, and the method comprises the steps: importing a needed function library, constructing a decision tree through a USDUW function, and marking the algorithm as a decision point; when a decision tree is constructed, selecting a certain characteristic value as a node ofthe tree according to a given sample data set, and calculating the information entropy in the data in the data set; determining the number of decision points of the decision tree, and marking the probability and the profit and loss value of the decision points on a probability branch; and when the decision tree selects the decision features, selecting the feature with the maximum Gini exponentialgain value as the node splitting condition. The method is clear in organization, rigorous in program, quantitative and qualitative in analysis, the satisfaction degree of the power customer is analyzed by utilizing a fuzzy decision tree analysis method, and the satisfaction degree of the power customer to the power service under which conditions can be clearly known by establishing a rule, so that conditions are provided for improving the service and improving the satisfaction degree of the power customer in the future.

Description

technical field [0001] The invention relates to the technical field of power supply service satisfaction assessment, in particular to a method for identifying influencing factors of power supply service satisfaction based on a decision tree algorithm. Background technique [0002] With the rapid development of information technologies such as the Internet, big data, and cloud computing, most of the information has been transitioned from paper carriers to electronic carriers, and most of this information is unstructured or semi-structured text information. How to effectively manage, mine, and analyze the information contained in massive unstructured data has become a major challenge in the field of big data. In unstructured data, text data occupies an important position. For enterprises with a large amount of text data, how to effectively use this part of the data resources determines the future development of the enterprise. In the data of the customer service center of th...

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Problems solved by technology

[0004] In order to overcome the problems existing in the related technologies, the embodiment of the present invention provides a method for identifying influencing factors of power supply service satisfaction based on a decision tree algorithm, which solves the problem of mostly relying on human-made subjective judgment principles and evaluating by different personnel in the actual application process. Issues with large discrepancies in results and time-consuming evaluation

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