[b]"What Are the Best Practices for Ranking Datasets in Machine Learning?"[/b] or [b]"How Do You Effectively Rank

Ugh, I feel you. Trial and error sucks.

One hack: Use feature importance scores from a quick model (like XGBoost) to rank datasets. If the model can’t learn anything, maybe ditch that dataset.

Also, DataWrangler is a cool tool for cleaning and prioritizing. Not perfect, but helps.