Example: stock market
Variable Selection Using Random Forests in SAS®
rates that compare favorably to Adaboost (short for “Adaptive Boosting”). Proposed by Freund and Schapire in 1996, Adaboost is a practical boosting algorithm focusing on classification problems and aims to create a strong classifier by converting a set of weak classifiers.
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