multiple output regression
[ˈmʌltɪpl ˈaʊtpʊt rɪˈɡrɛʃən]
nounpl: multiple output regressions
regressão com múltiplas saídas
1. A statistical machine learning technique where a single model predicts multiple continuous target variables simultaneously from a set of input features
Multiple output regression was used to predict both house price and construction time from property characteristics.
A regressão com múltiplas saídas foi utilizada para prever tanto o preço da casa quanto o tempo de construção a partir das características do imóvel.
2. A variant of linear regression that extends single-output models to handle cases where there are several dependent variables that share common input features
The team applied multiple output regression to simultaneously forecast sales, inventory, and customer satisfaction scores.
A equipe aplicou regressão com múltiplas saídas para prever simultaneamente vendas, inventário e pontuações de satisfação do cliente.
This is specialized technical terminology primarily used in machine learning, statistics, and data science communities in both Brazil and the United States. It is rarely encountered in everyday conversation and is predominantly found in academic papers, technical documentation, and professional data science contexts.
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