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Why does my neural network provide more solutions than it should?

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My input data are 219 samples of 5 elements and my target data are 219 samples of 1 element. After the neural network is created, I try to simulate it in order to obtain outputs from inputs it wasn't trained for. Theoretically, I should be providing 5 values and getting 1 as an answer. However, it seems that I get as many answers as inputs. Could someone please indicate what the problem might be? I tried transposing both data sheets but that still didn't work.

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