I am trying to predict expected Cost and Revenue for hotel_name and Channel from user inputs: ROAS (Revenue / Cost), hotel_name, and month. I’ve attempted using Multioutput Regression and the pymc-marketing library but haven’t found a satisfactory solution. The predictions are not close to real data and major variabilities. Could someone suggest a method or a library that might be better suited for this problem?