Case Analysis of Quality Classification Based on Stacked Ensemble Algorithm
This paper describes the commonly used single algorithm for wine quality classification,proposes a stacked ensemble algorithm,optimizes SVM,GBDT,RF,KNN learners through parameters,and uses the results as the RF input features of the meta learner.Experimental results have shown that the evaluation metrics of stacked ensemble algorithms have significantly improved.
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