What Is Test set?
In machine learning, the test set is a subset of data that is used to evaluate the performance of a model. It is a set of data that is not used to train the model.
The test set is typically a random sample of the dataset. It is used to evaluate the performance of the model by measuring its accuracy on the test set.
The test set is used to evaluate the performance of the model, while the training set is used to fit the parameters of the model. The training set is typically a random sample of the dataset that is used to train the model.
See also