Cognitive Computing in Business
Adaboost, short for Adaptive Boosting, is an ensemble learning technique that combines multiple weak classifiers to create a strong classifier. It works by adjusting the weights of misclassified instances so that subsequent classifiers focus more on difficult cases. This adaptive nature helps improve accuracy by iteratively refining the model based on previous performance.
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