Show to the users Hyperparameter tuning values

shankarpandala / lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

MIT License

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Show to the users Hyperparameter tuning values #451

Open KhusanRahmatullayev opened 5 months ago

KhusanRahmatullayev commented 5 months ago

Is your feature request related to a problem? Please describe. The idea very clear and helpfull but problem is that I coudn't get high value as much as yours like it shows me 95 accuracy but I get aroud 90-92 not like yours or higher.

Describe the solution you'd like I think, we coudn't find the exact parameters that your model used , that's why we are having differant accuracy, usually lower each time, consistently!

BradKML commented 1 month ago

I think this library does not use enough hyperparameters, rather it is kind of focused on brute-forcing... So it would be sweet to update this a little https://github.com/shankarpandala/lazypredict/issues/309 https://github.com/shankarpandala/lazypredict/issues/418