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What is a maximum margin linear classifier ?

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A margin classifier is a classifier which can give a related distance from the designated distance limit for every illustration. Case in point, if a linear classifier (e.g. perceptron or direct discriminant examination) is utilized, the separation (ordinarily euclidean separation, however others might be utilized) of a case from the isolating hyperplane is the margin of that illustration. 

The idea of margin is critical in a few machine learning characterization calculations, as it can be utilized to bound the speculation error of the classifier. These limits are every now and again demonstrated utilizing the VC measurement. Of specific conspicuousness is the generalization error rhat is bound on boosting calculations and bolster vector machines.


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