A classification model is a machine learning model whose expected output is one or more classes. It is used when the goal is to categorize inputs, such as detecting sentiment, identifying species, or predicting whether a condition is present.
A model whose prediction is a class. For example, the following are all classification models: - A model that predicts an input sentence's language (French? Spanish? Italian?). - A model that predicts tree species (Maple? Oak? Baobab?). - A model that predicts the positive or negative class for a particular medical condition. In contrast, regression models predict numbers rather than classes. Two common types of classification models are: - binary classification - multi-class classification
A model whose inference is a class. For example, the following are all classification models: A model that predicts an input sentence's language (French? Spanish? Italian?). A model that predicts tree species (Maple? Oak? Baobab?). A model that predicts the positive or negative class for a particular medical condition.
βMachine learning model whose expected output for a given input is one or more classesβ ISO/IEC 23053.