Cross Validation: It is a resampling method that uses different portions of the data to test and train a model on different iterations.
Different Cross Validation:
1. Four-Fold Cross Validation: Divided the data into 4 blocks.
2. Leave One Out Cross Validation (LOOCV): It is a configuration of k-fold cross-validation where k is set to the number of examples in the dataset.
3. Ten-Fold Cross Validation: In practice, it is very common to divided the data into 10 blocks.
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本文标题：【ML】Cross Validation
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