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Repeatedly withholding subsets of the data during model fitting in order to quantify the model performance on the withheld data subsets.
2
votes
1
answer
2k
views
Do I stick with the tuned model parameters even if they produce worse test scores?
The shorter and more general version of this question:
If tuning a model via cross-validation (within training set) produces worse results on the test set than my previous default/baseline model, do I …
13
votes
2
answers
7k
views
Is there a rule of thumb for using standard deviation of k-fold cross-validation scores to p...
Let's say I'm comparing 60 different model hyperparameter value combinations using 10-fold cross-validation. It's tempting to simply select the hyperparameter combination whose mean accuracy is highe …
16
votes
2
answers
8k
views
How does k-fold cross validation fit in the context of training/validation/testing sets?
My main question is with regards trying to understand how k-fold cross-validation fits in the context of having training/validation/testing sets (if it fits at all in such context).
Usually, people s …
1
vote
2
answers
3k
views
Can I use test data to fit a TFIDF Transformer/Vectorizer?
From the examples I've seen, it seems to me that generally people build a TFIDF transformer based on only on text in the training data, and then use that transformer to transform the test data.
Why …