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Hello,
I trained the random forest model for the first time and I had very good results after I retrained the same model with the same parameters on the same dataset and I obtained very different results ( at the beginning I had good results (F1 score = 85%) and now F1 score = 65% )
Any solutions please.
Hi @LA ,
Can you share what your Sampling & Splitting policy is? Perhaps the underlying dataset changed and the sample used was different train/test datasets which could explain the different results.
Can you try using "Explicit extracts from two datasets" and see if you get consistent results?
Thanks
Hi Alex,
Thanks for your answer.
I really didn't touch the data or the model, I just retrained the model without modifying anything.