3 Questions
Which method is helpful when the performance of your model shows significant variance based on your train-test split?
Cross-validation
What is the final score in the cross-validation method?
The average of the scores obtained on all partitions
Does cross-validation exempt you from using a distinct validation set for model calibration?
No, cross-validation requires a distinct validation set
Learn about the K-fold cross-validation method used to evaluate machine learning models. Discover how it helps reduce variance and obtain a more reliable performance score.
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