"The simple idea is to do stuff like train your model on randomized subsets of your data and then compare its performance to using all the data you have."
How do you do this when you cannot verify that your data, in subset or in whole, is accurate? And furthermore you don't know how inaccurate it is?
How do you do this when you cannot verify that your data, in subset or in whole, is accurate? And furthermore you don't know how inaccurate it is?