“This isn’t an example of overfitting, but of the training set not being iid.”
Upvote for the first half of that sentence, but I’m not sure how the second applies. The set of tanks is iid, the issue that the creators of the training set allowed tank/not tank to be correlated to an extraneous variable. It’s like having a drug trial where the placebos are one color and the real drug is another.
I guess I meant it’s not iid from the distribution you really wanted to sample. The hypothetical training set of all possible pictures of tanks, but you just sampled the ones that were during daytime.
I’m not sure you understand what “iid” means. I t means that each is drawn from the same distribution, and each sample is independent of the others. The term “iid” isn’t doing any work in your statement; you could just same “It’s not from the distribution you really want to sample”, and it would be just as informative.
“This isn’t an example of overfitting, but of the training set not being iid.”
Upvote for the first half of that sentence, but I’m not sure how the second applies. The set of tanks is iid, the issue that the creators of the training set allowed tank/not tank to be correlated to an extraneous variable. It’s like having a drug trial where the placebos are one color and the real drug is another.
I guess I meant it’s not iid from the distribution you really wanted to sample. The hypothetical training set of all possible pictures of tanks, but you just sampled the ones that were during daytime.
I’m not sure you understand what “iid” means. I t means that each is drawn from the same distribution, and each sample is independent of the others. The term “iid” isn’t doing any work in your statement; you could just same “It’s not from the distribution you really want to sample”, and it would be just as informative.