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Old 07-7-2018, 12:40 PM   #36
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Default Re: Entropy Gain for per-receptor NPS

Quote:
Originally Posted by leonid View Post
It gives a rough estimation of difficulty through general performances on the chart
Low % = Hard
High % = Easy
But you need a server to log all the user scores, users have to be online, and the chart needs a good enough number of players
Using neural network is like assigning one person to judge all the difficulties (since it's supposed to map human brains and what not), but what if you disagree with that person
Yeah just the fact that you need a massive amount of plays from various players in the lvl spectrum makes that unviable. Plus the difficulty should be predicted before any plays are made (or else it's a bit pointless).

As for the neural net, I have no clue why people are all on it, I dont recall mentionning it in this thread. That being said, you wonder what happens if people dont agree with a neural net's output ? Well, if the vast majority agrees with the net, then those who disagree should try to see if they're biaised because of their skillset and understand what led to that output. If only a minority agree with the output, then the possibility of it being wrong is greater and the chart would need closer inspection to see why that is the case. It's just how things goes when you have no predefined output class or labeled input.
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