The idea of Classification Algorithms is pretty simple. You predict the target class by analyzing the training dataset. This is one of the most — if not the most essential — concepts you study when you learn data science.
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What Is Classification?
We use the training dataset to get better boundary conditions that could be used to determine each target class. Once the boundary conditions are determined, the next task is to predict the target class. The whole process is known as classification.