Double Blind Machine Learning Insight Interface Apparatuses, Methods and Systems

A double blind machine learning apparatus, comprising:

• a memory;
• a component collection in the memory, including:
• a double blind machine learning component;
• a processor disposed in communication with the memory, and configured to issue a plurality of processing instructions from the component collection stored in the memory,
• wherein the processor issues instructions from the double blind machine learning component, stored in the memory, to:
• obtain, via at least one processor, a double blind machine learning request, wherein the double blind machine learning request includes:
• a minimum bid, a maximum bid, a look back window;
• determine, via at least one processor, a third party's shared dataset for the look back window and external predictions data corresponding to the shared dataset, wherein the external predictions data is determined by the third party based on an unavailable dataset;
• determine, via at least one processor, proprietary data corresponding to the shared dataset;
• generate, via at least one processor, a dataframe comprising at least a subset of the determined shared dataset, at least a subset of the external predictions data, and at least a subset of the proprietary data;
• determine, via at least one processor, a set of top features from the dataframe, wherein top features are features that are most likely to be useful for classification;
• encode, via at least one processor, top features data associated with the determined set of top features;
• generate, via at least one processor, a machine learning structure using the encoded top features data;
• utilize, via at least one processor, the generated machine learning structure on the encoded top features data to produce machine learning results, wherein the machine learning results specify an efficacy value for a given set of top features values;
• translate, via at least one processor, the produced machine learning results into commands, wherein the translated commands define a bid value for a given set of top features values based on the corresponding efficacy value, the minimum bid, and the maximum bid;
• and
• provide, via at least one processor, the translated commands to the third party.