What is the difference between Training and Testing Data in Machine Learning?
Testing data and training data are two of the main pillars of the machine learning process. Without one there can not be the other. In machine learning, an unknown universal dataset is assumed to exist, which contains all the possible data pairs as well as their probability distribution of appearance in the real world.



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