"To combine the information from the two models, you can simply multiply the two model scores, which will give you an expected value.
You've got two populations of customers (payers and non-payers). In your first model, you are coming up with a…"
"I agree with Jozo. If historically your response rate is relatively low, you can get away with creating your dataset using the known responders (and they are obviously the 'ones' in terms of the Y, and using everyone else as the zeros. The…"
It's less a matter of what technique to use and more a matter of what data you have available to build the model. What historical data do you have on your customers (i.e. -credit/default history, demographic, financial and credit data)."
"Great points Biswajit. The more information, the better. The only problem with some of the variables (wearing shoes etc...), is that you might have that information from accident reports in some cases, but even if you had that information for a…"
"I agree with you Steffen that there are still cars that are more safe and less safe than other cars due to their technical capabilities. Vincent was trying to explore whether there might be other influencing factors, aside from the car's…"
"Good points Matt. If a difference in a statistic between two groups is found to be “statistically significant’ it simply means that based on sample size, variation, and the value of the measured statistic, the difference you have seen is…"