Unbalanced data resampling method for ecological environment evaluation

Abstract

The invention relates to an unbalanced data resampling method for ecological environment evaluation, which comprises the following steps of: 1, acquiring ecological environment data, and standardizing the ecological environment data of each instance; 2, calculating the data density of each instance and the quantity difference d between the majority class and the minority class; 3, calculating the distribution unbalance degree DI and the number unbalance degree IR of the minority class and the majority class; 4, performing oversampling on the minority class; and 5, undersampling the majority classes. The method has the advantages that the data density of each instance in the data set is used for measuring the uniformity degree of distribution, and oversampling and undersampling are carried out according to the unbalance degree of data distribution, so that the purpose of balancing data is achieved; the ecological environment data is further balanced, the quality of the data set is improved, and when the ecological environment quality evaluation is carried out, the accuracy is higher, and the true positive rate is increased.

Description

technical field [0001] The invention relates to the technical fields of ecological environment evaluation technology and data processing, in particular to an unbalanced data resampling method for ecological environment evaluation. Background technique [0002] Ecological environment assessment is to select representative, comparable and operable evaluation indicators and methods according to specific purposes, and to conduct qualitative or quantitative analysis and judgment on the quality of ecological environment. The types of ecological environment quality assessment mainly include: ecological security assessment, ecological risk assessment, ecosystem health assessment, ecosystem stability assessment, ecosystem service function assessment, and ecological environment carrying capacity assessment. Eco-environmental evaluation technology is generally realized by comprehensive evaluation technology, generally including principal component analysis method, fuzzy evaluation meth...

AI Technical Summary

Problems solved by technology

These methods have a certain degree of randomness when synthesizing new minority classes, without considering the distribution of the data set, so the final classification results may not be ideal

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