The Classification algorithm is a Supervised Learning technique for determining the category of fresh observations based on training data. The process of classifying new observations into one of numerous classes or groupings is called classification. Yes or No, 0 or 1, Spam or Not Spam, cat or dog, etc. Classes can be described by using phrases such as targets, labels, or categories.

Classification, unlike regression, yields a category rather than a value, such as "Green or Blue," "fruit or animal," and so on. Because the Classification method is supervised learning, it uses labeled input data, which means it comprises both input and output.

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