Data classification with binary response through the Boosting algorithm and logistic regression
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Review of AIC and BIC information criteria focused on binary data classification.

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Usual data classification is presented with its drawbacks (i.e., low performance).

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Boosting algorithm showed enhanced results supported by MC simulation.

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Hosmer–Lemeshow test sets the partition of the training(test) for classification.

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CHD disease classification is performed with Boosting showing its high performance.

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