Parametric classification with soft labels using the evidential EM algorithm: linear discriminant analysis versus logistic regression
نویسندگان
چکیده
منابع مشابه
Prediction of Depression in Cancer Patients With Different Classification Criteria, Linear Discriminant Analysis versus Logistic Regression
BACKGROUND Logistic regression (LR) and linear discriminant analysis (LDA) are two popular statistical models for prediction of group membership. Although they are very similar, the LDA makes more assumptions about the data. When categorical and continuous variables used simultaneously, the optimal choice between the two models is questionable. In most studies, classification error (CE) is used...
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ژورنال
عنوان ژورنال: Advances in Data Analysis and Classification
سال: 2017
ISSN: 1862-5347,1862-5355
DOI: 10.1007/s11634-017-0301-2