ensemble methods
[/ɑːnˈsɛmbəl ˈmɛθədz/]
nounpl: ensemble methods
métodos de conjunto
1. Machine learning techniques that combine multiple models to produce better predictive performance than any individual model alone
Ensemble methods like random forests and gradient boosting are widely used in competitive machine learning.
Métodos de conjunto como florestas aleatórias e aumento de gradiente são amplamente utilizados em aprendizado de máquina competitivo.
2. A collective approach in machine learning where several algorithms work together to improve accuracy and reduce overfitting
The data scientist applied ensemble methods to achieve higher accuracy on the test dataset.
O cientista de dados aplicou métodos de conjunto para alcançar maior precisão no conjunto de dados de teste.
This is primarily a technical term used in data science and machine learning communities. While the English term 'ensemble methods' is commonly used in Brazilian and Portuguese tech sectors, the Portuguese translation 'métodos de conjunto' is the formal equivalent. In academic and professional environments in Brazil, both the English term and Portuguese translation are accepted, though 'métodos de conjunto' is preferred in formal documentation.
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