voting classifier
[/ˈvoʊtɪŋ ˈklæsɪfaɪər/]
nounpl: voting classifiers
classificador por votação
1. A machine learning ensemble method that combines multiple classifiers and makes predictions based on majority voting or weighted voting mechanisms
The voting classifier combines decision trees, random forests, and neural networks to improve prediction accuracy.
O classificador por votação combina árvores de decisão, florestas aleatórias e redes neurais para melhorar a precisão da previsão.
2. An ensemble technique where each base classifier casts a vote and the final prediction is determined by the majority or plurality of votes
We implemented a voting classifier with three different algorithms to achieve better generalization.
Implementamos um classificador por votação com três algoritmos diferentes para alcançar melhor generalização.
This is a technical term primarily used in machine learning and data science communities in both Brazil and the USA. It appears frequently in academic papers, online courses (like those from Coursera or edX), and professional machine learning frameworks. The term maintains the same meaning across English and Portuguese-speaking regions with no significant cultural variations.
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