What Is Training set?
In machine learning, the training set is a subset of data that is used to train a model. It is a set of data that is used to fit the parameters of a model.
The training set is typically a random sample of the dataset. It is used to train the model by minimizing the loss function, which is a measure of how well the model fits the training data.
The training set is used to fit the parameters of the model, while the test set is used to evaluate the performance of the model. The test set is typically a random sample of the dataset that is not used to train the model.
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