Classification assigns instances to predefined categories from "summary" of Machine Learning by Ethem Alpaydin
When we talk about classification in machine learning, we are referring to the process of assigning instances to predefined categories based on their features. This means that we are essentially creating a model that can predict which category a new instance belongs to, given its set of features. To achieve this, we first need a dataset that is labeled with the correct categories for each instance. This labeled data is used to train our classification model, which learns the relationship between the features and the categories. Once the model has been trained, it can then be used to predict the category of new, unseen instances. Classification is a supervised learning task, which means that we have access to labeled data during t...
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