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Supervised learning is a type of machine learning algorithm that learns a mapping function y = f(x) between input variables (x) and output variables (y). The two most common supervised learning tasks are classification and regression.

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Is SVM is a good choice for large dataset?

Though elegant in theory, support vector machines are quite slow if the number of candidate predictors is above 100. In fact, oftentimes there are computational issues even when the number of candidat …
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