Support Vector Regression1

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  SVR (Support Vector Regression) Information SVR is a type of supervised machine learning algorithm that can be used for regression tasks. It is based on Support Vector Machines (SVM) and uses a similar approach to find a function that best fits the data. The goal of SVR is to find the hyperplane that has the maximum margin of error within a certain threshold. The threshold is defined by the epsilon parameter, which determines .. Zettelkasten/Terminology Information 2023. 4. 5.