You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi minihat,
I really love your idea and would like to do a similar Prediction.
While looking through the files in this repository it was pretty hard for me to understand the meaning of each file.
And just by your final report:
did you used Gold earned and Gold spent in the neuronal network?
if so you might have designed a great detector for the team with more unspent gold or more gold in total.
Great work all in all especially the link to riotwatcher helps me well!
The text was updated successfully, but these errors were encountered:
Thanks @cornerstone-programming. This work was for a class project, and I haven't returned to it to add proper documentation. You are not the first person to contact me about it, so I will try to find time to add some better documentation. In the meantime, feel free to email me with any questions at kih5283@psu.edu.
As for your question about gold spent and gold earned:
I am trying to predict game outcomes based only on the prior statistics of the players in the match. The classifier has no information about gold earned and spent in the match being classified, only data about players typical gold earned and spent in their prior games... along with a wealth of other features.
Hi minihat,
I really love your idea and would like to do a similar Prediction.
While looking through the files in this repository it was pretty hard for me to understand the meaning of each file.
And just by your final report:
did you used Gold earned and Gold spent in the neuronal network?
if so you might have designed a great detector for the team with more unspent gold or more gold in total.
Great work all in all especially the link to riotwatcher helps me well!
The text was updated successfully, but these errors were encountered: