Computer scienceData scienceMachine learningEnsemble learning

Adaboost: an illustrated walk-through

Normalization

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What is the reason for normalizing the weights after each iteration?

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To reduce the effect of the outliers

To make the classification more accurate

It helps to reduce overfitting

To avoid making Adaboost too biased towards the incorrectly classified samples

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