Explanation: Supervised Learning is the correct term for a machine learning algorithm that learns from historical data to make predictions about the future. In supervised learning, the algorithm is trained on a labeled dataset, where the input data is paired with corresponding output labels. During the training process, the algorithm learns the relationship between input features and output labels, enabling it to make predictions on new, unseen data.