Characterization of the eight classification models.
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https://figshare.com/articles/dataset/_Characterization_of_the_eight_classification_models_/1260163
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Shown are the classification approach (RF = random forest, LDA = linear discriminant analysis, SVM = support vector machine, SSM = state-space model), the method of preselection (RUS = random undersampling, SMOTE = synthetic minority oversampling technique) and the number and type of predictor variables.
Characterization of the eight classification models.
创建时间：
2014-12-04
