It's possible a MLP isn't a good suggestion for my project. I've to consider my NN configuration I only have 1 concealed layer.
I am not certain regarding the other approaches, but aspect correlation is a difficulty that needs to be addressed right before evaluating feature importance.
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I did test both of those scenario but outcomes are different, exemple (initially scenario column A and B are essential but 2nd scenario column C and D are crucial)
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The application of MLPs to sequence prediction calls for the input sequence be divided into scaled-down overlapping subsequences termed windows that happen to be demonstrated to the network so that you can produce a prediction.
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Seaborn can be a Python visualization library according to matplotlib. It provides a significant-stage interface for drawing statistical graphics.
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