Classification System
A classification system is a method of categorizing data into different classes or categories based on their characteristics. In data science, classification is a supervised learning technique used to predict the class of an object based on its features. The classification system involves the use of algorithms to train a model on a labeled dataset, where the class labels are known. The trained model can then be used to predict the class of new, unlabeled data. Classification systems are used in various applications such as image recognition, spam filtering, sentiment analysis, and fraud detection.
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