CPC G06N 5/04 (2013.01) [G06F 16/2282 (2019.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A computer-implemented method, comprising:
receiving, at a computing system, via a user interface, information regarding entities for which predictions are to be generated by a machine learning model;
receiving, at the computing system, via the user interface, information regarding a target to be predicted by the machine learning model;
suggesting, by the computing system, via the user interface, attributes of the entities, wherein the attributes correspond to features;
performing, by the computing system, one or more data leakage prevention operations with regard to one or more of the suggested attributes; and
training, by the computing system, the machine learning model, wherein the computing system provides to the machine learning model, as training data inputs, data of one or more of the suggested attributes as subjected to the data leakage prevention operations.
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