Posted On: Feb 22, 2018
Classification is used when the output variable is a category such as “red” or “blue”, “spam” or “not spam”. It is used to draw a conclusion from observed values. Differently from, regression which is used when the output variable is a real or continuous value like “age”, “salary”, etc. When we must identify the class, the data belongs to we use classification over regression. Like when you must identify whether a name is male or female instead of finding out how they are correlated with the person.
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Basically, machine learning is pattern recognition. Like Youtube’s video recommendations, Facebook’s News Feeds, etc...
Observe and learn from the set of instances and then draw conclusion..