A computer-implemented method for evaluating a dataset. The dataset is generated by a physical process. According to the method, the dataset has a) a plurality of first data points, which can be assigned to a first label, wherein the first data points at least partially form at least one first local cluster area, and b) a plurality of second data points, which can be assigned to a second label and the second data points at least partially form at least one second local cluster area. The first data points and the second data points are separable. Creating a range of uncertainty at least between the first cluster area of the first data points and the second cluster area of the second data points; and evaluating the dataset based on the range of uncertainty so created.