Computer-implemented method of classifying information into a first class or a second class, the method comprising: applying a first classification technique to the information so as to assign the information to the first class if the information meets classification criteria of the first class, and to assign the information to the second class if the information does not meet the classification criteria of the first class; applying a second classification technique to the information so as to assign the information to the second class if the information meets classification criteria of the second class, and to assign the information to the first class if the information does not meet the classification criteria of the second class; and updating the classification criteria of at least one of the two classification techniques in the event that the assignments of the information that are performed by the two classification techniques deviate from each other or in the event that a predefined number of mutually deviating assignments of information by the two classification techniques (M1,M2) has been reached; wherein the first class and the second class differ from each other; wherein the method is used for error detection in technical plants; wherein the information classified by the method is sensor data; wherein the method further comprises: outputting a first signal if the information has been assigned to the first class by both classification techniques; outputting a second signal if the information has been assigned to the second class by both classification techniques; and outputting a third signal if the information has been assigned to different classes by the classification techniques. applying a first classification technique to the information so as to assign the information to the first class if the information meets classification criteria of the first class, and to assign the information to the second class if the information does not meet the classification criteria of the first class; applying a second classification technique to the information so as to assign the information to the second class if the information meets classification criteria of the second class, and to assign the information to the first class if the information does not meet the classification criteria of the second class; and updating the classification criteria of at least one of the two classification techniques in the event that the assignments of the information that are performed by the two classification techniques deviate from each other or in the event that a predefined number of mutually deviating assignments of information by the two classification techniques (M1,M2) has been reached; wherein the first class and the second class differ from each other; wherein the method is used for error detection in technical plants; wherein the information classified by the method is sensor data; wherein the method further comprises: outputting a first signal if the information has been assigned to the first class by both classification techniques; outputting a second signal if the information has been assigned to the second class by both classification techniques; and outputting a third signal if the information has been assigned to different classes by the classification techniques. outputting a first signal if the information has been assigned to the first class by both classification techniques; outputting a second signal if the information has been assigned to the second class by both classification techniques; and outputting a third signal if the information has been assigned to different classes by the classification techniques.