K-Fold Cross-Validation

Holdout Method

Simple evaluation method dividing the dataset into two distinct sets: training and test, typically with ratios of 70/30 or 80/20. Although quick to implement, this method can produce biased performance estimates depending on how the data is partitioned.

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