Multiclass classification

Multiclass classification is a type of machine learning problem where you want to classify something into more than two different categories. It might be used to classify items like animals (cat, dog, bird), clothing items (shirt, pants, shoes), or types of food (pizza, taco, salad). In each of these examples, there are three categories (cat, dog, bird; shirt, pants, shoes; pizza, taco, salad) and the goal is to correctly identify which category each item belongs to. To do this, the machine learning algorithm looks at characteristics of each item and tries to figure out which category it should be placed in.