The prediction predicts a dataset variable, by using other columns as information for the model, in the same timestamp. The model behind the node can be either a neural network or a linear regression model, which can be configurated by the user.
The prediction node generates extra columns in your dataset containing the predicted values, which can be used for any additional actions like alerts, visualization plots, further predictive models, etc…
The trained Machine Learning models can be used as well for performing predictions by changing their input variables, which can be used a simulation tool:
Machine Learning prediction nodes add extra columns
