Concept drift detection method based on classification error rate and consistency prediction
A technology for classification errors and concept drift, which is applied in the direction of platform integrity maintenance, character and pattern recognition, machine learning, etc., to achieve the effect of reducing the amount of calculation
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[0018] The method of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.
[0019] A concept drift detection method combining classification error rate and consistency prediction, combining classification error rate change detection and consistency predictor, capable of detecting arbitrary machine learning classification models caused by sudden concept drift and gradual concept drift degradation problem.
[0020] The method of the present invention includes two parts: sudden concept drift detection based on classification error rate and progressive concept drift detection based on consistency predictor, the process of which is as follows figure 1 shown.
[0021] Step 1: Use the classification model to classify the samples.
[0022] The data of the test data set is input into the classification model in turn for classification, and the input sample sequence is recorded as (x i ,y i ), x i is the mult...
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