Requires a model to categorize data points into one of two possible categories and the goal is to accurately assign each data point to the correct category.
Data instances such is human language, images and video.
A binary decision for each instance
To distinguish between two classes
Supervised learning with binary outcome models
Accuracy, precision, recall, F1 score, and ROC-AUC curves