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SVM predicts the outcome probability for each data point it classifies (e.g. the data point A has the probability p=0.7 to belong to class 1

SVM predicts the outcome probability for each data point it classifies (e.g. the data point A has the probability p=0.7 to belong to class 1 and p=0.3 to belong to the class 2).

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