Class

In data science, a class refers to a category or group of objects or instances that share common characteristics. Classes are used in machine learning algorithms to train models to recognize patterns and make predictions. A class is defined by a set of features or attributes that describe the objects within it. These features can be numerical or categorical, and they are used to create a model that can classify new instances into one of the predefined classes. The process of creating a model involves training it on a dataset that contains labeled examples of each class, and then testing it on a separate dataset to evaluate its accuracy. Classes are a fundamental concept in supervised learning, where the goal is to learn a mapping between input features and output labels.
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