SMOTE for Regression
作者： Luís Torgo , Rita P. Ribeiro , Bernhard Pfahringer , Paula Branco
DOI: 10.1007/978-3-642-40669-0_33
关键词: Sampling (statistics) 、 Extreme value theory 、 Variable (computer science) 、 Machine learning 、 Computer science 、 Training set 、 Set (abstract data type) 、 Class imbalance 、 Regression 、 Artificial intelligence 、 Empirical evidence
摘要: Several real world prediction problems involve forecasting rare values of a target variable. When this variable is nominal we have a problem of class imbalance that was already studied …
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