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1.4. Support Vector Machines — scikit-learn 0.23.2 documentation 4.8. Implementation details 1.4. Support Vector Machines¶ Support vector machines (SVMs) are a set of supervised learning methods used for classification, regression and outliers detection. The <span>advantages of support vector machines are: Effective in high dimensional spaces. Still effective in cases where number of dimensions is greater than the number of samples. Uses a subset of trainin
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