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archimede's Introduction

Hi, I'm Jinen ๐Ÿ‘‹๐Ÿผ

Iโ€™m a PhD student advised by Prof. Chaoyue Liu, researching aspects of optimization theory, intrinsic interpretability, & domain generalization.

I aim to develop methods for leveraging intuitive biases which enable learning parameters that produce emergent behaviors while remaining interpretable by design.

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๐Ÿ“ฌ [email protected]
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archimede's Issues

Additional evaluation for the pipeline

Hey @jinensetpal ,

Raising an issue instead of sending an email since it is more practical for me to keep track of things inside Github. I was looking to your evaluation script and what can be probably done to make the evaluation of your approach more sound is the following:

  • Shuffle the dataframe before taking the X and y; we may never know if entries are ordered for some reason, and this would greatly affect the performances of the model (probably not, but still worth doing as a good practice).

  • I saw that you were loading some pickled test sets for evaluation: I guess those are a portion of the original training that you set apart for testing. Would you mind doing a 5-fold cross-validation instead? This would ensure that a) there's no data leakage between train and test and b) that current results aren't due to a "lucky split".

Best,

Gabriele

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