| CPC G06N 5/04 (2013.01) [G06F 16/285 (2019.01); G06N 20/00 (2019.01)] | 20 Claims |

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1. A computer-implemented method, comprising:
obtaining, at a cloud computing environment, a plurality of predictions generated by a machine learning model;
determining, at the cloud computing environment, that an explanatory data set for at least a subset of the plurality of predictions is to be provided; and
presenting, via one or more programmatic interfaces from the cloud computing environment, an explanatory data set for at least the subset, wherein the explanatory data set comprises a list of factors which contributed to predictions generated by the machine learning model for at least the subset, wherein the list is sorted based on respective extents to which individual factors contributed to the predictions generated by the machine learning model.
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