Discriminative Model
A machine learning algorithm that focuses on finding the boundary that separates different classes of data rather than understanding how the data was created.
Think of It Like This
Like a bouncer at a club who only checks if you are on the VIP list, rather than caring about where you were born or what your life story is.
Discriminative models estimate the conditional probability of a label given an input observation. They are typically used for classification tasks like image recognition or sentiment analysis. Because they only need to model decision boundaries, they are often more computationally efficient and accurate for specific predictive tasks than generative approaches.