Any good strategy to get 1.00 of precision?
Which is better ? CatBoost , or LGBM? Or a NN
For classification problems is bette to use trees, and catboost according to observations seems to outperform LGBM!
I dont know if you can reach 1.00 precision, thats like utopic!
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