hi everyone I need to know what test or node I must use to ensure that my data are balanced (I don’t mean it has missing value or needs normalizing) I mean it’s a real dataset that does not have random value or no sense in it when I use ML algorithms on it. The result of machine learning will be good to make decisions on it, I used to use the heart dataset (to apply like videos I watch) but I figured out it was a bad dataset because all ML algorithms gave me bad results. Still, I can’t test all algorithms every time. I would appreciate any information from your education or experience that can help me. thanks all

how do know if your dataset is good before using ML algorithms?

mlauber71 February 17, 2024, 6:45am 17

@mohammad_alqoqa that was the whole text. Meant as a slight joke. Skip all the fancy models just use XGBoost and be done.

Here another more compact approach

3 Likes