Standardizing disparate data points

A computer program product comprising:

• one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the stored program instructions comprising:
• program instructions to perform one or more tests on a test input resulting in one or more disparate data points that are either non-binary or binary;
• program instructions to standardize the one or more disparate data points utilizing a trained binary classification model;
• program instructions to generate one or more non-binary machine learning evaluation metrics based on the one or more standardized disparate data points;
• and
• program instructions to, responsive to the one or more generated non-binary machine learning evaluation metrics exceeding one or more thresholds, deploy the test input.

A computer system comprising:

• one or more computer processors;
• one or more computer readable storage media;
• and
• program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the stored program instructions comprising:
• program instructions to perform one or more tests on a test input resulting in one or more disparate data points that are either non-binary or binary;
• program instructions to standardize the one or more disparate data points utilizing a trained binary classification model;
• program instructions to generate one or more non-binary machine learning evaluation metrics based on the one or more standardized disparate data points;
• and
• program instructions to, responsive to the one or more generated non-binary machine learning evaluation metrics exceeding one or more thresholds, deploy the test input.