training set

A training set is a collection of data used to teach a machine learning model how to perform a specific task, such as recognizing images or predicting outcomes. It contains examples with known answers, allowing the model to learn patterns and relationships within the data. By analyzing the training set, the model adjusts its internal parameters to improve accuracy. Once trained, the model can make predictions or decisions on new, unseen data, applying what it has learned from the training set to solve real-world problems.