classification problems

Classification problems involve teaching a computer to sort items into predefined categories based on their features. For example, an email filter learns to distinguish between spam and legitimate messages by analyzing characteristics like keywords and sender info. The goal is for the system to accurately assign new, unseen items to the correct category. These problems are common in tasks like image recognition, medical diagnosis, and document sorting, where understanding the underlying patterns helps automate decision-making efficiently and accurately.