In supervised learning, an algorithm is trained on labeled data. The labeled data contains both input and output data so that the algorithm can learn how to make predictions for new data.
In supervised learning, an algorithm is trained on labeled data. The labeled data contains both input and output data so that the algorithm can learn how to make predictions for new data.