When training a data mining model, the testing dataset is always larger than the training dataset.

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The testing dataset is typically smaller than the training dataset. The training dataset is used to build and train the model, while the testing dataset is used to evaluate the performance of the model on unseen data. The testing dataset should ideally be representative of the population and have a similar distribution as the training data. The size of the testing dataset depends on the complexity of the model and the amount of data available.

When Training a Data Mining Model, the Testing Dataset Is