i'm doing a classification problem with 50000 rows × 5000 columns of dataset.
calssification label is 300 labels
1. enter image description here

This is the few example of box plot of some feature. what can I inference from this information??

  1. If i'm using a randomforest classification(its fasterlgb, xgb is so slow) what should I carefully set up the parameter or select the features?

  2. what else I can do to do the anomaly detection?


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