Definition Training dataset

In the contexts of machine learning and regression analysis, it is a common best practice to split the dataset on which the the model is calculated into three portions: training dataset, validation dataset, and test dataset. The training dataset is the portion of the dataset on which the model is actually calculated. Using the training dataset as a point of departure, the validation dataset is used to evaluate quality and to fine-tune/adjust the hyperparameters. The final evaluation is made using the test dataset; if the model can predict the values of the test dataset with enough precision, then the model is considered to be reliable.

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