One of the most important mechanisms in machine learning is to train your algorithm on a training set that is separate and distinct from the test set for which you’ll gauge its accuracy. Failure to do ...

Machine learning models are trained with huge amounts of data and must be tested before practical use. For this, the data must first be divided into a larger training set and a smaller test set—the ...