classification accuracy
[klas-uh-fi-KAY-shuhn AK-yuh-ruh-see]
noun
🇧🇷 acurácia de classificação
1. The proportion of correct predictions made by a classification model out of the total number of predictions; a metric that measures how often a classifier correctly predicts the class labels
The classification accuracy of the machine learning model reached 95% on the test dataset.
A acurácia de classificação do modelo de aprendizado de máquina atingiu 95% no conjunto de testes.
2. In machine learning and statistics, the ratio of the number of correctly classified instances to the total number of instances evaluated
Improving classification accuracy is essential for developing reliable diagnostic systems.
Melhorar a acurácia de classificação é essencial para desenvolver sistemas de diagnóstico confiáveis.
💡 Classification accuracy is a fundamental metric in machine learning and AI research, widely used in both Brazilian and international tech communities. In Brazil, the term 'acurácia' (accuracy) has been adopted from English in technical contexts, though some academics prefer 'precisão.' This metric is critical in applications ranging from medical diagnosis systems to image recognition, reflecting the growing importance of AI literacy in Brazilian higher education and tech industry.
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