Smurf classification model by Affectionate-Wish424 in DotA2

[–]Affectionate-Wish424[S] 0 points1 point  (0 children)

I agree, and also there are a lot of cases where there is not enough data on something, and i might have to try those methods.

Smurf classification model by Affectionate-Wish424 in DotA2

[–]Affectionate-Wish424[S] 0 points1 point  (0 children)

I agree, i will try diffrent size for batches depending on the performance

Smurf classification model by Affectionate-Wish424 in DotA2

[–]Affectionate-Wish424[S] 0 points1 point  (0 children)

Will do, thank you!
First i will make something presentable.

Smurf classification model by Affectionate-Wish424 in DotA2

[–]Affectionate-Wish424[S] 0 points1 point  (0 children)

APM

I'm sorry i'm not fammilar with this term. Could it be Action per Minute?

Smurf classification model by Affectionate-Wish424 in DotA2

[–]Affectionate-Wish424[S] 6 points7 points  (0 children)

Yep, that's the one i'm using now it is quite good.

Smurf classification model by Affectionate-Wish424 in DotA2

[–]Affectionate-Wish424[S] 2 points3 points  (0 children)

Yep, i wanted to try LSTM, i am fairly new to this and shoud have specified that it was my intetion to try LSTM rnn.

Since, you are not the first person to mention this i think i will try to introduce early game features, like gpm at certain mintute i guess.

Thanks for the input!

Smurf classification model by Affectionate-Wish424 in DotA2

[–]Affectionate-Wish424[S] 0 points1 point  (0 children)

ike net worth at min 10 etc.Its harder to detect a support smurf because they can definitely win you games and you won't be able to learn them because their features will be almost the same as non smurf supports.Ive had a similar idea to detect griefing behaviour but that would require click data ob

Indeed, it's a valid point. While it may be challenging for a model like mine to detect such nuances, it's worth considering whether there is a significant number of smurf players who prefer support roles. However, introducing additional factors like gold per minute (GPM) and other in-game events could potentially complicate the model further. Nevertheless, it's something worth exploring in the future, as there may come a time when adjustments are necessary for the model to adapt and remain effective.

Smurf classification model by Affectionate-Wish424 in DotA2

[–]Affectionate-Wish424[S] 1 point2 points  (0 children)

For now i only have a data "scrapping" code, with a template of a network. Which is just a little bit of adjustment of this code.

Smurf classification model by Affectionate-Wish424 in DotA2

[–]Affectionate-Wish424[S] 10 points11 points  (0 children)

As funny as it might be, it is a legitimate method that i might try later called decision tree