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My Xgboost model is vastly underperforming compared to my Random Forest and I can’t figure out why
May 23, 2023, 11:20 a.m. | /u/Throwawayforgainz99
Data Science www.reddit.com
But when looking at new data, it’s giving bad results. I’m not too familiar with hyper parameter tuning on Xgboost and just tuned a few basic parameters until I got the best f1 score, so maybe it’s something there? I’m 100% certain there’s no data leakage between the training and validation. …
binary classification data datascience giving random training validation xgboost
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