Is there a way to predict the performance of a machine learning algorithm which was trained with unknown data?

I’m currently in my literature research and I just can’t find any related work. I want to do a kind of robots competence estimation of an interactive online learning system, with which I can predict e.g. the systems accuracy of a classification task from time to time. Normally you could just split up your data into a training and test set to validate it, but this I want to avoid. Do you know any publications or techniques that address this problem or at least related problems? Thanks in advance!

submitted by /u/CL4DSOFT
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from Artificial Intelligence http://ift.tt/2w9Y6lI

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