Classification

Datasets containing category labels

About Classification

Classification problems aim to correctly assign data examples into one of a number of possible categories - for example identifying whether an image contains a "dog" or a "cat". Binary classification refers to cases where the target variable of interest has two possible categories, while Multi-class classification refers to cases where the target variable has more than two possible categories. Datasets that contains category labels may be suitable for a classification problem.