Uploaded November 2025 | Updated September 2026, 1 week ago

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Classification is a fundamental machine learning technique aimed at organizing input data into distinct classes. During the classification process, the model undergoes training using the 'train subset' function, followed by evaluation using the 'test subset' function. A notable distinction between classification and regression tasks lies in their output variables. While classification deals with discrete target variables, regression tasks involve continuous output variables.