Why did I get different accuracy for different algorithms?

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SUMMARY

The discussion centers on the discrepancies in accuracy results obtained from different algorithms in a machine learning context, specifically related to the Employee Promotion Prediction project hosted on GitHub. A user, @shivajikobardan, shared their code but faced criticism for expecting others to debug several thousand lines without providing specific details. The thread concluded with a reminder of the importance of clarity and focus when seeking help in coding forums.

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shivajikobardan
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TL;DR
Why did I get different accuracy for different algorithms in same dataset?
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Here are the codes(not all might be present, take it with grain of salt).

https://github.com/prabesh-regmi/Employee-Promotion-Prediction
 
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"I might have made a mistake somewhere - here is a dump of all my code. Or maybe not. You figure it out." is a mighty big ask.

What work - if any - are you willing to do here?
 
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@shivajikobardan, it's unreasonable to ask us to look through several thousand lines of code to figure out why you are getting what you got.
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