Why did I get different accuracy for different algorithms?

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The discussion revolves around a user sharing a large codebase for an employee promotion prediction project, expressing uncertainty about potential mistakes within the code. The response highlights the impracticality of expecting others to sift through thousands of lines of code to identify issues without specific guidance or context. The thread concludes with a closure, emphasizing the need for more focused inquiries rather than broad requests for assistance.
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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.
Thread closed.
 
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