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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?