Comments (1)
Hi @Avv22 ,
Thank you for your interest in our work, and thank you for reading the paper carefully.
This is a great question!
The bias-variance trade-off is a general concept in machine learning, that expresses the main problem in designing features or representations in machine learning models.
Too specific features may describe the training data very well, but can cause overfitting;
too general/simple features may occur across many examples, but can be insufficiently expressive.
For more information, see the Wikipedia article for example:
https://en.m.wikipedia.org/wiki/Bias%E2%80%93variance_tradeoff
Best,
Uri
from code2vec.
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