USING THE INFORMATION OF A DEPENDENT VARIABLE TO IMPROVE THE PERFORMANCE IN LEARNING THE RELATIONSHIP BETWEEN THE DEPENDENT VARIABLE AND INDEPENDENT VARIABLES
A device comprises a non-transitory memory having instructions and one or more processors in communication with the memory. The one or more processors execute the instructions to receive training data that represent dependent variable information from a plurality of cells in a cellular network. One or more clusters of cells are selected from the plurality of cells; while, one or more sub-clusters of cells are selected from the one or more clusters based on the dependent variable information. One or more models are determined corresponding to the one or more sub-clusters of cells based on the relationship between dependent variable information and independent variable information. A prediction value is output from the one or more models in response to the received testing data.
