Training minimizes a loss that reflects the distance between predicted and observed values. Evaluation may emphasize average error, large errors, ranking, or uncertainty depending on the use case.
Regression is the task of predicting a continuous numerical value from input features.
Training minimizes a loss that reflects the distance between predicted and observed values. Evaluation may emphasize average error, large errors, ranking, or uncertainty depending on the use case.