Abstract: A computer system implements a method to provide a class membership probability prediction based on collected usage data from a user device of a user. After device usage data, which contains location information, is collected from the user device, the collected usage data is processed to generate a predictive model by utilizing a machine learning algorithm. In response to a user input, a class membership probability estimation is produced by processing the user input through the probability predictive model. The resulted class membership probability estimation can then be used as a prediction of a demographic profile of the user.