Dataset diro2c_running_example_dataset.csv: Two-dimensional dataset with the continuous features x1 and x2. It contains 300 instances with the following properties: min = − 293.39, max = 437.35, µ = − 2.92, and σ = 187.69 for feature x1 and min = − 251.96, max = 316.10, µ = − 3.23, and σ = 101.08 for feature x2. The instances of the datasets are classified into two classes “0” and “1”. The instances are generated by the sklearn “make_classification” function with the following parameters: make_classification(n_samples = 300, n_features = 2, n_informative = 1, n_redundant = 0, n_classes = 2, random_state = 2, n_clusters_per_class = 1, class_sep = 1.8, flip_y = 0, scale = 100).