Overfitting your data: Don’t do it!
Kyrsten Novak


I think your point about over fitting the model is important. In my Writing i mentioned an example about the use of computer vision to detect a stop signs. When we over trained the classifier, we found an increase of true positive rejection (stop signs that recognized as other images).

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