Cost Function

A cost function is a tool used in machine learning to measure how well a model's predictions match actual data. Think of it as a score that indicates error—lower scores mean the model is more accurate, while higher scores suggest it needs improvement. The goal during training is to find the model parameters that minimize this cost, leading to better predictions. Essentially, the cost function guides the model to learn from mistakes and improve its performance over time.