CPC G06N 3/082 (2013.01) [G06F 18/211 (2023.01); G06F 18/214 (2023.01); G06F 18/241 (2023.01); G06F 18/2431 (2023.01); G06N 3/08 (2013.01)] | 14 Claims |
13. A machine learning system whose hyperparameters are selected in such a way that the machine learning system is trained to reproduce actual classifications of correctly labeled training data better than actual classifications of not correctly labeled training data, wherein the hyperparameters are selected in such a way that for the trained machine learning system, a statistical frequency distribution of margins that result when the machine learning system is supplied with the not correctly labeled training data has two maxima as a function of the margins.
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