GPC

GPC, or Gaussian Process Classification, is a machine learning technique used to categorize data into different groups. It models the relationship between input features and the likelihood of belonging to each category using a flexible mathematical framework called a Gaussian process. This approach provides not only predictions but also measures of confidence in those predictions, making it useful for tasks where understanding uncertainty is important. GPC is particularly effective for complex problems with limited data, as it can adapt to various patterns without assuming a fixed form, providing a powerful tool for classifications in fields like medicine, finance, and engineering.