Answer & Solution
Answer: Option
D
Solution:
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.
Regression is a specific type of supervised learning used for predicting continuous values, such as predicting house prices or stock prices.
Clustering is an unsupervised learning technique used for grouping similar data points together based on their features.
Classification is another type of supervised learning used for predicting discrete categories or classes, such as spam detection or image recognition.
Therefore, Option D: Supervised Learning is the correct term for a machine learning algorithm that learns from historical data to make predictions about the future.
