ML Overfitting Issues
This cluster focuses on discussions of overfitting in machine learning models, where they perform well on training data or benchmarks but fail to generalize to new inputs, often critiquing poor training practices or specific platforms like HackerRank.
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It's just overfitting, bro.
somebody's machine learning algorithms need better training.
You've just unlocked overfitting.
Sounds like a failure mode in machine learning.
It's almost like you are saying the model was overfit to the data.
It's overfit to the training data.
Probably they are overfitting the benchmarks, since other users also complain of the low accuracy
That's not bias, it's just over fitting the model
This is going too far, looks like nobody understand machine learning at hacker rank
I think they've been overfitted.