Abstract: A computer detects, based on a module name of a module included in a machine learning library, a first code for calling a training function for training a machine learning model from a machine learning program. The computer inserts, before the first code, second code for splitting first training data passed to the training function into second training data and test data. The computer rewrites the first code to pass the second training data to the training function. The computer inserts, after the first code, third code for calculating a score based on prediction data, which is generated from the trained machine learning model and input data included in the test data, and correct answer data included in the test data.

Abstract: A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process that includes adding identification information of each of a plurality of libraries to be installed, to a determination target list one by one, performing, every time the identification information of each of the plurality of libraries is added to the determination target list, a determination process that determines compatibility between a plurality of determination target libraries that include first libraries indicated by first identification information included in the determination target list and depended libraries on which the first libraries depend, when incompatibility regarding a second library indicated by the added identification information is detected, deleting the added identification information from the determination target list, and when the incompatibility regarding the second library is not detected, generating a library list that contains the first identification information an