Classification Models

Classification models are algorithms used in data analysis to categorize items into predefined groups based on their attributes. Imagine sorting fruits into baskets: a model learns the characteristics of apples, bananas, and oranges, then helps identify new fruits by placing them in the correct basket. These models analyze input data, such as images or text, to predict the class or category of that data. Common applications include email filtering (spam vs. not spam), medical diagnosis, and image recognition. Essentially, they help automate the process of decision-making based on learned patterns in data.