1. In machine learning and data science, a collection of data points where each sample is associated with a known label or classification, used for training supervised learning models.
The labeled sample set contained 10,000 images of cats and dogs, each marked with its correct category.
O conjunto de amostras rotuladas continha 10.000 imagens de gatos e cães, cada uma marcada com sua categoria correta.
2. A dataset used in supervised learning where inputs are paired with their corresponding outputs or target values.
To train the classifier effectively, we need a large labeled sample set.
Para treinar o classificador efetivamente, precisamos de um grande conjunto de amostras rotuladas.