# Loss Function As mention earlier the Loss/Cost functions are mathematical functions that will answer how well your classifier is doing it's job with the current set of parameters (Weights and Bias). One important step on supervised learning is the choice of the right loss function for the job/task. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://leonardoaraujosantos.gitbook.io/artificial-inteligence/machine_learning/supervised_learning/loss-function.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.