Bayesys datasets

Various datasets from the Bayesys repository. <strong>Size</strong>: 6 groups of datasets with each up to 16 experimentally generated from the bayesian network with the number of observation 100,1000,…100000. Ground truth is given <strong>Number of features</strong>: 6 - over 1000 <strong>Ground truth</strong>: Yes <strong>Type of Graph</strong>: Directed graph Six discrete BN case studies are used to generate data. The first three of them represent well-established examples from the BN structure learning literature, whereas the other three represent new cases and are based on recent BN real-world applications. Specifically, Asia: A small toy network for diagnosing patients at a clinic; Alarm: A medium-sized network based on an alarm message system for patient monitoring; Pathfinder: A very large network that was designed to assist surgical pathologists with the diagnosis of lymph-node diseases; Sports: A small BN that combines football team ratings with various team performance statistics to predict a series of match outcomes; ForMed: A large BN that captures the risk of violent reoffending of mentally ill prisoners, along with multiple interventions for managing this risk; Property: A medium BN that assesses investment decisions in the UK property market. Data generated with noise: Synthetic datasets - noise Experiment No. Experiment Notes 1 N No noise 2 M5 Missing data (5%) 3 M10 Missing data (10%) 4 I5 Incorrect data (5%) 5 I10 Incorrect data (10%) 6 S5 Merged states data (5%) 7 S10 Merged states data (10%) 8 L5 Latent confounders (5%) 9 L10 Latent confounders (10%) 10 cMI M5 and I5 11 cMS M5 and S5 12 cML M5 and L5 13 cIS I5 and S5 14 cIL I5 and L5 15 cSL S5 and L5 16 cMISL M5, I5, S5 and L5 More information about the datasets is contained in the <strong>dataset_description.htm</strong>l<strong> </strong>files.