Automated intelligent data navigation and prediction tool

A method for automatically selecting from a plurality of analytic algorithms a best performing analytic algorithm to apply to a dataset, comprising:

• executing, by a processor coupled to a memory, a data allocation using estimates of upper bounds on accuracies to perform:
• training, by the processor, a plurality of analytic algorithms on a plurality of subsets of the dataset, and
• estimating, by the processor, a corresponding prediction accuracy trend across the subsets for each of the plurality of analytic algorithms to produce a plurality of accuracy trends, each corresponding prediction accuracy trend across the subsets is a normalized line calculated across the subsets of each of the plurality of analytic algorithms;
• selecting, by the processor, the best performing analytic algorithm from the plurality of analytic algorithms based on the corresponding prediction accuracy trend with a highest value from the plurality of accuracy trends;
• and
• outputting, by the processor, the best performing analytic algorithm via an interactive user interface through which a user can interact with the system.