Estimating feasibility and effort for a machine learning solution

A computer system for assessing a likelihood of success associated with developing at least one machine learning (ML) solution, comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories further comprise program instructions to cause the computer system to perform a method comprising:
• generating a set of questions based on a set of raw training data;
• computing a feasibility score based on an answer corresponding with each question from the generated set of questions;
• in response to determining that the computed feasibility score satisfies a threshold, computing a level of effort associated with developing the at least one ML solution to address a problem;
• and
• presenting, to a user, a plurality of results associated with assessing the likelihood of success of the at least one ML solution.

A computer program product for assessing a likelihood of success associated with developing at least one machine learning (ML) solution, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by processor to cause the computer to perform the method comprising:

• generating a set of questions based on a set of raw training data;
• computing a feasibility score based on an answer corresponding with each question from the generated set of questions;
• in response to determining that the computed feasibility score satisfies a threshold, computing a level of effort associated with developing the at least one ML solution to address a problem;
• and
• presenting, to a user, a plurality of results associated with assessing the likelihood of success of the at least one ML solution.