Closed youcef-Ismael closed 3 years ago
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)
Is there a way to pass the accuracy level, label and confusion matrix to specific variables? Thank you.
did you used the cross validation k fold or what is the method that you have used to calculate these rates ?