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Malicious Login Detection

Detect malicious login attempts in the BETH dataset

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PeterYS
PeterYS

2

Posted

Training data

I just checked the data and I think my score comes from the fact that there around 80% sus overall. That is to say, the model is not as good as I thought. It predicts sus=0 all the time. But since the goal, at least stated in the docs, is to find out the 'evil' data, is it appropriate to stick to models trained with the sus given the fact that all the 'evil' values are 0?
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Antoine Chauvin

2

Posted by antoine 19 days ago

Hello Peter ! The BETH dataset has been primarily architected for unsupervised machine learning so the "evil" column in training is effectively always false.
Jannes Stubbemann

1

Posted by stubbi 19 days ago

tagging @peterys as I believe notifications for comments are not in place yet
PeterYS

1

Posted by PeterYS 17 days ago

Hi @antoine @stubbi , thanks, I think I have the solution now. Btw, I think the website jumps to the top of the page every time I @ someone in the comments, for some reason.

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