Regression is a supervised learning method for predicting a continuous output of an event based on the relationship between variables (or features) obtained from a dataset. A continuous outcome is a real value such as an integer or floating-point value often quantified as amounts and sizes. Regression is a widely popular type of deep learning modeling.
Since regression predicts a quantity, performance is measured error in those predictions. Regression performance can be measured in many ways. But the most common are mean squared error (MSE), mean absolute error (MAE), and root mean squared error ...
