1. A machine learning methodology where the training dataset includes both input features and their corresponding correct output labels, allowing the algorithm to learn the mapping between inputs and outputs.
The model improved significantly after training with labels that correctly identified fraudulent transactions.
O modelo melhorou significativamente após o treinamento supervisionado com rótulos que identificavam corretamente transações fraudulentas.
2. In educational contexts, a training process where instructional materials or exercises are accompanied by correct answers or annotations for learning purposes.
Training with labels helps students understand the correct approach to problem-solving.
O treinamento com rótulos ajuda os alunos a compreender a abordagem correta para a resolução de problemas.