Predictive analysis based on past data
HI, I have a historical dataset which tells who bought our products. This dataset contains ID, Age, Gender and Salary. I have another set of data which contains the four fields above. How should I use R to calculate the probability of purchase of each customer in the second dataset or whether they would buy our products (T/F)? Should I use glm function? If yes, how should I approach this? Thanks. Regards, Winson Lui Business Analyst M: +44 (0) 79 1714 6247 E: winson.lui at bwinparty.com<mailto:winson.lui at bwinparty.com>