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Reinforced machine learning methods for testing quality of cyber threat prediction results
2020
Theoretical and Applied Cybersecurity
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The article considered on machine learning methods with reinforcement to make decisions about evaluating the quality of a mathematical prediction model. Given the problems of cybersecurity specificity A/B testing algorithms, analysis of variance (ANOVA), as well as multi-armed bandit are presented. Features of their practical implementation are taken into account: data type and distribution function, sample size, knowledge about the dispersion of the general population, dependence and
doi:10.20535/tacs.2664-29132020.1.209432
fatcat:ilszzrxlmneyha6u3346h5keii