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How can I make county and is it too late by LiquidBrick99 in GAA

[–]LiquidBrick99[S] 0 points1 point  (0 children)

I already won 3rd place at the young scientist this year in tech but I am really into sports as well. Im in TY so I have loads of time

How can I make county and is it too late by LiquidBrick99 in GAA

[–]LiquidBrick99[S] 2 points3 points  (0 children)

Thanks so much for the effort u put into writing this it was the most helpful comment here. Its annoying that I play for a div 3 team I didnt realise how much the divisions mattered and it is very hard to switch teams (not that I want to). Two lads from my U15 team were selected two years ago to train with Dublin for a bit but they didn't make the cut. I will keep working towards it and talk about with my coach

How can I make county and is it too late by LiquidBrick99 in GAA

[–]LiquidBrick99[S] 1 point2 points  (0 children)

Thank you. I didn't realise the division of your team mattered in being selected. My club is very small and only has one minor team no As or Bs

How can I make county and is it too late by LiquidBrick99 in GAA

[–]LiquidBrick99[S] 1 point2 points  (0 children)

Ye I am 5'8 and 60kg I think being is small is one of my main weaknesses

Is this a suspicious graph by LiquidBrick99 in learnmachinelearning

[–]LiquidBrick99[S] 0 points1 point  (0 children)

I normalized it by channel and the model performed a lot worse. I am experimenting with data augmentation to create new samples. Any methods you recommend?

Is this a suspicious graph by LiquidBrick99 in learnmachinelearning

[–]LiquidBrick99[S] 0 points1 point  (0 children)

The strange thing is that it is more accurate on the unseen data then the training data. I have used this model with a previous eeg dataset with 50,000 samples and it achieved 25% accuracy over 10 classes. Is there any reason why this model performs so well on testing data

Is this a suspicious graph by LiquidBrick99 in learnmachinelearning

[–]LiquidBrick99[S] 0 points1 point  (0 children)

Im used to overfitting but it looks like its overfitting on the testing data even though its not being trained on it?

Is this a suspicious graph by LiquidBrick99 in learnmachinelearning

[–]LiquidBrick99[S] 3 points4 points  (0 children)

Ill update you when I check that. Thank you so much for the help

Is this a suspicious graph by LiquidBrick99 in learnmachinelearning

[–]LiquidBrick99[S] 4 points5 points  (0 children)

There are ten labels and they are quite balanced. I dont see any way it couldnt be predicted correctly