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It is a technique which involves reserving a particular sample of a dataset which is not used to train the model. Later, the model is tested on the sample to evaluate the performance.
There are various methods:
• Leave one out cross validation (LOOCV)
• K-fold cross validation
• Stratified k-fold cross validation
• Adersarial validation
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