Abstracted interface for gamification of machine learning algorithms

A system for interactive machine learning, the system comprising:

• a processor configured to iteratively perform a process including steps of:
• identifying a solution to a given problem;
• processing, based on determining that the identified solution is a possible solution to the given problem, the possible solution by running a machine learning application using the possible solution;
• selecting a processed solution based on a plurality of processed solutions at least a portion of which are from different iterations of the process;
• and
• determining whether to exit the process with the selected solution for the given problem based on an exit condition;
• and
• a communication interface operably connected to the processor, the communication interface configured to receive, via a user interface for an interactive application, inputs into the interactive application to use in performance of at least part of one of the steps.

A non-transitory, computer-readable medium for interactive machine learning, comprising program code that, when executed by a processor of a system, causes the system to:

• iteratively perform a process including steps of:
• identifying a solution to a given problem;
• processing, based on determining that the identified solution is a possible solution to the given problem, the possible solution by running a machine learning application using the possible solution;
• selecting a processed solution based on a plurality of processed solutions at least a portion of which are from different iterations of the process;
• and
• determining whether to exit the process with the selected solution for the given problem based on an exit condition;
• and
• receive, via a user interface for an interactive application, inputs into the interactive application to use in performance of at least part of one of the steps.