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Training a Binary Classifier

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  Training a Binary Classifier ·        Let’s simplify the problem for now and ü   only try to identify one digit —for example, the number 5 . ·        This “ 5-detector ” will be an example of a binary classifier , ü   capable of distinguishing between just two classes, ·        5 ·        not-5.   ü   Let’s create the target vectors for this classification task : y_train_5 = ( y_train == 5 ) # True for all 5s, False for all other digits y_test_5 = ( y_test == 5 ) ·        Now let’s pick a classifier and train it . ·        A good place to s tart is with a ü   Stochastic Gradient Descent (SGD) classifier , ·        using Scikit-Learn’s SGDClassifier class. ·        This classifier has the advantage of being capable of handling very large datasets efficiently. ·        This is in part because SGD deals with training instances independently , one at a time. ü   Let’s create an SGDClassifier and train it on the whole training set: fr