Input dataset recap for building regression scenarios
The training data source contains the past observations that will be used to generate the regression model. In this dataset, the values of the target variable, which is the variable corresponding to your business issue, are known.
By analyzing the training dataset Smart Predict generates a regression model that explains and predicts the target variable, based on the variables identified as influencers.
Once the regression model is trained it can be applied on an application dataset. This will generate the predicted values of the target in the output dataset.