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You could see that we are offered an worth score for every attribute exactly where the larger score the more essential the attribute. The scores suggest at the significance of plas
I’m working on a personal project of prediction in 1vs1 sports activities. My neural community (MLP) have an accuracy of sixty five% (not great nevertheless it’s a very good start out). I have 28 attributes and I think that some have an impact on my predictions. So I applied two algorithms mentionned within your write-up :
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Finish this assignment! You will need to discover some procedures in a variety of Python objects as well as produce various features!
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Maybe a MLP isn't a good idea for my project. I've to consider my NN configuration I have only one hidden layer.
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