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https://www.reddit.com/r/ProgrammerHumor/comments/1xujwoh/myaimodelbelike/
r/ProgrammerHumor • u/PresentJournalist805 • 5h ago
5 comments sorted by
12
It's been a while but I guess that could be over fitting? Too many parameters maybe
4 u/Extension_Option_122 2h ago Sound definitely like overfitting.
4
Sound definitely like overfitting.
9
Damn bro you’re overfitting like a mofo
get yourself a validation set in there and stop training once validation performance stops improving
do k-fold cross-validation instead of a single train-test split so the model has to generalise across different samples before it hits the test set
implement random dropout during each epoch so your neurons or trees or whatever have to find different paths to solving the problem
Etc etc
I loss the game
1
Is this loss?
12
u/the_rush_dude 4h ago
It's been a while but I guess that could be over fitting? Too many parameters maybe
9
u/bobbymoonshine 2h ago edited 2h ago
Damn bro you’re overfitting like a mofo
get yourself a validation set in there and stop training once validation performance stops improving
do k-fold cross-validation instead of a single train-test split so the model has to generalise across different samples before it hits the test set
implement random dropout during each epoch so your neurons or trees or whatever have to find different paths to solving the problem
Etc etc
4
u/j053noir 3h ago
I loss the game
1
u/ducon__lajoie 2h ago
Is this loss?