Detection method, computer-readable recording medium, and computing system

A non-transitory computer-readable recording medium having stored therein a detection program executable by one or more computers, the detection program comprising:

• training an inspector model for training a decision boundary that divides a feature space of data into two application areas based on an output result of the operation model, the inspector model being configured to calculate a distance from the decision boundary to input data;
• calculating, by inputting training data to the inspector model, a first distance from the decision boundary to the training data;
• calculating, by inputting first data to the inspector model, a second distance from the decision boundary to the operation data;
• and
• detecting, when a difference between the first distance and the second distance is larger than or equal to a threshold, an accuracy degradation of the machine learning model caused according to the difference between the training data and the first data.

A computing system comprising:

• a memory;
• and
• a processor coupled to the memory, wherein the processor is configured to:
• train an inspector model for training a decision boundary that divides a feature space of data into two application areas based on an output result of the operation model, the inspector model being configured to calculate a distance from the decision boundary to input data,
• calculate, by inputting training data to the inspector model, a first distance from the decision boundary to the training data,
• calculate, by inputting first data to the inspector model, a second distance from the decision boundary to the operation data;
• and
• detect, when a difference between the first distance and the second distance is larger than or equal to a threshold, an accuracy degradation of the machine learning model caused according to the difference between the training data and the first data.