How much data do you need? Part 2: Predicting DL class specific training dataset sizes

arXiv:2403.06311v1 Announce Type: new
Abstract: This paper targets the question of predicting machine learning classification model performance, when taking into account the number of training examples per class and not just the overall number of training examples. This leads to the a combinatorial question, which combinations of number of training examples per class should be considered, given a fixed overall training dataset size. In order to solve this question, an algorithm is suggested which is motivated from special cases of …

abstract arxiv class classification classification model cs.lg data dataset examples leads machine machine learning paper part per performance question stat.ml targets training type