Given a real-world binary classification problem (e.g. disease diagnosis: diseased or healthy) to be solved using a machine learning solution, state the key factors you would consider and methods you would apply in terms of data pre-processing and representa- tion (assuming data has been collected), feature engineering , model selection and evaluation process