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Not quite the same, but equally as disastrous is data leakage. This comes in some fun and unexpected forms. One example is from the fisheries monitoring competi

Not quite the same, but equally as disastrous is data leakage. This comes in some fun and unexpected forms. One example is from the fisheries monitoring competition on Kaggle, where NNs were learning to predict fish caught using the background image of the boats rather than the fish shown on camera. i.e. different boats tend to catch different fish

devoply 8y ago
inductive learning.
thisisit 8y ago
I have recently started learning ML and trying competitions on Kaggle. And I also seeing that in many of the competitions I have tried. The biggest predictor turns out to be the feature which wont be present when the data is created.