Technique used to evaluate a classifier by dividing the data set into train set to train the classifier and test set to test the same.
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Machine learning is used to evaluate a classifier by dividing the data set into train set to train the classifier and test set to test the same.
The data is build to overcome different datasets in order to face encryption. in particular, three data sets are commonly used in different stages of the creation of the model.
It is a very useful technique.
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Answer is Cross Validation
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