Terminology and Abbreviations

• Model: A specific instance of a class, characterized by its unique parameters (e.g., a line defined by a particular slope and intercept).
• Sample: A set of points, comprising outliers and inliers for each model.
• N: The total number of points present in each sample.
• NS (Number of Samples): The quantity of samples contained within each .npy file.
• NM (Number of Models): The count of models that are to be generated within each sample of the dataset.