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For extra input that does not matter, you should not input it to the network. Feature selection, the process of finding and selecting the most useful features in a dataset, is a crucial step of the machine learning pipeline. Unnecessary features decrease training speed, decrease model interpretability, and, most importantly, decrease ...


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Additional features can also cause overfitting if they have low or misleading information. Consider the following problem: X = [1, 3, 3, 4, 5], Y = [1, 3, 4, 4, 5]. Suppose that the real dataset was generated from the relationship: Y = X, with a probability of 0.2 of adding or subtracting 1. A reasonable model estimate is Y = X. Note that no model can ...


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