Train Sets

A train set refers to the complete collection of data used to teach a machine learning model. It includes examples with known answers, which the model analyzes to learn patterns and relationships. Once trained, the model can make predictions or decisions on new, unseen data. Think of it as a student studying a textbook before taking a test; the train set provides the foundational knowledge necessary for the model to perform well in real-world tasks. The quality and size of the train set are crucial for developing an accurate and reliable model.