classification models
[klæsɪfɪˈkeɪʃən ˈmɒdəlz]
nounpl: classification models
modelos de classificação
1. Machine learning algorithms or statistical models designed to predict categorical outcomes by assigning input data to predefined classes or categories
Classification models are essential in machine learning for tasks like email spam detection and medical diagnosis prediction.
Os modelos de classificação são essenciais no aprendizado de máquina para tarefas como detecção de spam em e-mail e previsão de diagnóstico médico.
2. Supervised learning models that learn from labeled training data to categorize new, unseen data into specific groups
The data scientist trained several classification models to distinguish between fraudulent and legitimate transactions.
O cientista de dados treinou vários modelos de classificação para distinguir entre transações fraudulentas e legítimas.
3. Algorithms such as decision trees, logistic regression, random forests, and neural networks used for categorical prediction tasks
Popular classification models include support vector machines, naïve Bayes, and gradient boosting classifiers.
Modelos de classificação populares incluem máquinas de vetores de suporte, classificador Naïve Bayes e classificadores de reforço de gradiente.
Classification models are fundamental to modern machine learning and AI applications in both the United States and Brazil. The term is widely used in tech industries, universities, and data science communities. In Brazil, there has been significant growth in machine learning adoption across industries, making this terminology increasingly common in Portuguese-language tech documentation and academic research.
Related Idioms & Phrases
train a classification model
evaluate classification model performance
overfitting in classification models
class imbalance in classification models
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