Apparatus and computer-implemented method for classifying data

A computer-implemented method for classifying data, the method comprising the following steps:

• determining a first classification as a function of the data using a first model;
• determining a measure for a contribution of each relevant part to a classification for parts of the data to be classified;
• supplementing data by at least one of the parts, for which, as a function of the measures determined for the parts, it is determined that the at least one of the parts to be classified contributes more to the first classification than other parts to be classified;
• and
• determining a second classification is a function of the data supplemented by the at least one of the parts using the first model or using a second model.

An apparatus for classifying data, comprising:

• at least one processor;
• and
• at least one memory, wherein the at least one memory stores executable instructions for classifying data, the instructions, when executed by the at least one processor, causing the at least one processor to perform the following steps:
• determining a first classification as a function of the data using a first model;
• determining a measure for a contribution of each relevant part to a classification for parts of the data to be classified;
• supplementing data by at least one of the parts, for which, as a function of the measures determined for the parts, it is determined that the at least one of the parts to be classified contributes more to the first classification than other parts to be classified;
• and
• determining a second classification is a function of the data supplemented by the at least one of the parts using the first model or using a second model.

A non-transitory computer-readable medium on which is stored a program, including instructions for classifying data, the instructions, when executed by a computer, causing the computer to perform the following steps:

• determining a first classification as a function of the data using a first model;
• determining a measure for a contribution of each relevant part to a classification for parts of the data to be classified;
• supplementing data by at least one of the parts, for which, as a function of the measures determined for the parts, it is determined that the at least one of the parts to be classified contributes more to the first classification than other parts to be classified;
• and
• determining a second classification is a function of the data supplemented by the at least one of the parts using the first model or using a second model.