boosting algorithm
[/ˈbuːstɪŋ ˈælɡərɪðəm/]
nounpl: boosting algorithms
algoritmo de boosting
1. A machine learning technique that combines multiple weak learners sequentially to create a strong learner, where each new model focuses on correcting errors made by previous models
The boosting algorithm improved the model's accuracy by iteratively training on misclassified examples.
O algoritmo de boosting melhorou a precisão do modelo treinando iterativamente em exemplos mal classificados.
2. An ensemble method in predictive modeling where weak classifiers are weighted and combined to produce superior predictive performance
AdaBoost is a popular boosting algorithm used in classification tasks.
AdaBoost é um popular algoritmo de boosting usado em tarefas de classificação.
This is a specialized technical term primarily used in academic and professional machine learning contexts in both English-speaking countries and Brazil. It is rarely translated literally and is commonly used as 'boosting algorithm' or 'algoritmo de boosting' in Brazilian Portuguese technical literature. The term reflects the global standardization of machine learning terminology in the tech industry.
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