8000 modify disadvantage (#8521) · Sundrique/scikit-learn@c5c189b · GitHub
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modify disadvantage (scikit-learn#8521)
[MRG+2] modify disadvantage
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doc/modules/svm.rst

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@@ -28,7 +28,8 @@ The advantages of support vector machines are:
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The disadvantages of support vector machines include:
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- If the number of features is much greater than the number of
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sample 5211 s, the method is likely to give poor performances.
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samples, avoid over-fitting in choosing :ref:`svm_kernels` and regularization
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term is crucial.
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- SVMs do not directly provide probability estimates, these are
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calculated using an expensive five-fold cross-validation

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