multi-objective regression
[/ˌmʌlti əbˈdʒɛktɪv rɪˈɡrɛʃən/]
nounpl: multi-objective regressions
regressão multi-objetivo
1. A statistical and machine learning technique that simultaneously optimizes multiple conflicting objective functions in regression analysis, seeking to find optimal solutions that balance trade-offs between different performance metrics or goals
The team used multi-objective regression to balance accuracy and model simplicity in their predictive model.
A equipe utilizou regressão multi-objetivo para equilibrar precisão e simplicidade do modelo em seu modelo preditivo.
2. An optimization approach where a regression model is trained to minimize multiple loss functions or maximize multiple performance objectives simultaneously
Multi-objective regression allowed us to optimize both prediction error and computational efficiency.
A regressão multi-objetivo nos permitiu otimizar tanto o erro de predição quanto a eficiência computacional.
Multi-objective regression is primarily a technical term used in computer science, data science, and engineering fields across both Brazil and the USA. In Brazil, it is increasingly used in academic research and by data science professionals, particularly in São Paulo's tech sector. The term reflects the growing importance of multi-dimensional optimization in modern machine learning applications.
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