What is a Training Set?
Definition
A training set is a crucial component in machine learning and data mining, comprising a dataset used to train a model. It consists of input data where the model learns the underlying relationships and patterns. The training process adjusts the model's parameters to minimize errors in predictions. A well-curated training set is vital for achieving high model performance, as it directly influences the inductive learning phase, determining how effectively a model can generalize to unseen data.