Random Forest
[ˈrændəm ˈfɒrɪst]
nounpl: Random Forests
Floresta Aleatória
1. A supervised machine learning algorithm that builds multiple decision trees from random subsets of the training data and combines their predictions to improve accuracy and reduce overfitting
The data scientist used a Random Forest model to classify customer churn with high accuracy.
O cientista de dados usou um modelo de Floresta Aleatória para classificar a rotatividade de clientes com alta precisão.
2. An ensemble learning method that creates a forest of uncorrelated decision trees whose predictions are aggregated to produce a final result
Random Forest is particularly effective for handling both classification and regression problems.
Floresta Aleatória é particularmente eficaz para lidar com problemas de classificação e regressão.
Random Forest is predominantly used in English across both Brazilian and Portuguese technical communities, though 'Floresta Aleatória' is the formal Portuguese translation. In academic settings and data science courses in Brazil and Portugal, both terms are understood, but professionals often use the English term in technical discussions, papers, and code. The algorithm was developed by Leo Breiman and Adele Cutler and has become fundamental in machine learning education and practice worldwide.
Look up more words on Fala2Me
The free English-Portuguese dictionary with real Brazilian accents, NYC slang, conjugator and more
Open Fala2Me →