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accuracy metrics are calculating for train set by default. But you can still calculate those metrics for your validation / test set as well. Cross validation is not covered yet.
from chefboost import Chefboost as cb
model = cb.fit(df, config)
cb.evaluate(model, validation_df)
did you used the cross validation k fold or what is the method that you have used to calculate these rates ?
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