I have generated a model for predicting the future input trend with a sample data using linear regression in Knime. I want to validate the model using a different data set.
Suppose the data set I used for creating the model came from the sensor of device A. The prediction is accurate for the dataset from device A. Lets say I saved the model as a PMML file called A. Can I use the same PMML file A to predict values of Device B (Values of B are not comparable). If not, should I create a different model for all data set that I have?
How do I combine all the models generated so that it predicts any given data set? Is it possible?