accuracy metrics
[ə-ˈkyu̇-rə-sē ˈme-triks]
nounpl: accuracy metrics
métricas de precisão
1. Quantifiable measurements used to evaluate the correctness and reliability of predictions, classifications, or data in machine learning, statistics, and data analysis
The team evaluated the model's performance using accuracy metrics such as precision, recall, and F1-score.
A equipe avaliou o desempenho do modelo usando métricas de precisão, como precisão, revogação e pontuação F1.
2. Statistical indicators that measure how closely predicted or measured values match actual or true values
Common accuracy metrics include mean squared error, root mean squared error, and mean absolute error.
As métricas de precisão comuns incluem erro quadrático médio, raiz do erro quadrático médio e erro absoluto médio.
3. Performance benchmarks used in quality assurance and testing to determine system or algorithm effectiveness
The software's accuracy metrics demonstrated a 98% success rate in detecting fraudulent transactions.
As métricas de precisão do software demonstraram uma taxa de sucesso de 98% na detecção de transações fraudulentas.
In Brazilian and international tech communities, 'métricas de precisão' is the standard terminology used in machine learning, data science, and software development. The term reflects the growing importance of data-driven decision-making in both Brazilian and American technology sectors. In academic settings and professional environments, understanding and communicating accuracy metrics is essential for model validation and stakeholder communication.
Related Idioms & Phrases
measure twice, cut once - ensuring accuracy before implementation
the proof is in the numbers - accuracy metrics validate performance claims
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