As with all things in life, even an algorithm has further improvement margins. Each folder starts with a number followed by the application name. The network training is done with the target data and its behavior with patterns of input data. Evaluation metrics Evaluating a model involves checking if the predicted value is equal to the actual value during the testing phase. Geometrically, this condition describes the situation in which there is a hyperplane that separates, in the vector space of inputs, those that require positive output from those that require a negative output, as shown in the following figure:.
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