Abstract: A method for determining measurement information based on a multitude of measurement values from a measurement value range includes: obtaining a frequency distribution of a plurality of measurement values; dividing the frequency distribution into several regions, wherein one of the regions each represents an interval of the measurement value range and includes one or several classes of the frequency distribution; selecting one class each of a respective region as a selected class of the respective region based on a selection rule, wherein one region feature each is allocated to the regions based on the selection rule, determining a probability value for one of the selected classes based on the region features, wherein the probability value represents an estimation for the probability with which the selected class represents a value of a useful signal, wherein determining the probability value is based on methods of machine learning.