Instability of results Random Forest

LA
LA Registered Posts: 2 ✭
in General Discussion

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.

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  • Alexandru
    Alexandru Dataiker, Dataiku DSS Core Designer, Dataiku DSS ML Practitioner, Dataiku DSS Adv Designer, Registered Posts: 1,212 Dataiker

    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

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  • LA
    LA Registered Posts: 2 ✭

    Hi Alex,

    Thanks for your answer.

    I really didn't touch the data or the model, I just retrained the model without modifying anything.

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