A learning model difference providing method that causes a computer to execute a process which includes: calculating a mismatch degree between prediction data about arbitrary data included in a plurality of pieces of data that are input by using an application program, the prediction data being obtained by the plurality of pieces of data and a learning model in accordance with a purpose of use of the application program, and data that are specified for the arbitrary data; assessing whether or not the calculated mismatch degree exceeds a first degree; and transmitting the mismatch degree to a providing source of the learning model in a case where the mismatch degree is assessed as exceeding the first degree.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-readable and non-transitory storage medium having stored a learning model difference providing program which causes a computer to execute: calculating a mismatch degree between prediction data about arbitrary data included in a plurality of pieces of data that are input by using an application program, the prediction data being obtained by the plurality of pieces of data and a learning model in accordance with a purpose of use of the application program, and data that are specified for the arbitrary data by a user of the application program; assessing whether or not the calculated mismatch degree exceeds a first degree; and transmitting the mismatch degree to a providing source of the learning model in a case where the mismatch degree is assessed as exceeding the first degree. 2. The storage medium of the learning model difference providing program according to claim 1, causing the computer to further execute: executing the calculating of the mismatch degree about each data of the plurality of pieces of data that are input; assessing whether or not the mismatch degree that is calculated about each of the pieces of data exceeds a second degree; calculating a ratio between a number of pieces of data whose mismatch degrees are assessed as exceeding the second degree and a number of the pieces of data that are input; assessing whether or not the calculated ratio exceeds a predetermined ratio; and transmits the ratio to the providing source in a case where the ratio is assessed as exceeding the predetermined ratio. 3. The storage medium of the learning model difference providing program according to claim 2, causing the computer to further execute: transmitting the calculated ratio to a terminal that corresponds to the user that uses the application program. 4. The storage medium of the learning model difference providing program according to claim 2, causing the computer to further execute: receiving a notification request for identification information of the learning model that corresponds to an arbitrary user that uses the application program; and transmitting identification information of the learning model that is associated with identification information of the arbitrary user and the ratio that is calculated about the learning model which corresponds to the arbitrary user to a request source of the notification request in response to the received notification request, by referring to a storage that stores the identification information of each user among plural users which use the application program and the identification information of the learning model which corresponds to the user among plural learning models in accordance with purposes of use of the application program while associating the identification information of the user with the identification information of the learning model. 5. The storage medium of the learning model difference providing program according to claim 1, wherein the application program is an application program that supports design of an apparatus, and in the calculating of the mismatch degree, a mismatch degree between prediction data about an arbitrary item in design data that are input by using the application program and data that are specified for the arbitrary item by the user is calculated. 6. A learning model difference providing method that causes a computer to execute a process comprising: calculating a mismatch degree between prediction data about arbitrary data included in a plurality of pieces of data that are input by using an application program, the prediction data being obtained by the plurality of pieces of data and a learning model in accordance with a purpose of use of the application program, and data that are specified for the arbitrary data; assessing whether or not the calculated mismatch degree exceeds a first degree; and transmitting the mismatch degree to a providing source of the learning model in a case where the mismatch degree is assessed as exceeding the first degree. 7. A learning model difference providing system comprising: a first terminal that executes an application program; a second terminal of a providing source of a learning model in accordance with a purpose of use of the application program; and an information processing device that manages data which are input by using the application program, wherein the information processing device includes a memory, and a processor that is coupled to the memory and executes a process comprising; calculating a mismatch degree between prediction data about arbitrary data included in a plurality of pieces of data that are input from the first terminal by using the application program, the prediction data being obtained by the plurality of pieces of data and the learning model in accordance with the purpose of use of the application program, and data that are specified for the arbitrary data, assessing whether or not the calculated mismatch degree exceeds a first degree, and transmitting the mismatch degree to the second terminal in a case where the mismatch degree is assessed as exceeding the first degree.