Supplementary Material: Automatic Unsupervised Outlier Model Selection Details on Models, Meta-features, Datasets/Testbeds, Optimization, pseudo code, and Detailed Experiment Result A M

Model set M is composed by pairing outlier detection algorithms to distinct hyperparameter choices. Table 2 provides a comprehensive description of models, including 302 unique models composed by 8 popular outlier detection (OD) algorithms. B.1 Complete List of Meta-features We summarize the meta-features used by M When applicable, we provide the formula for computing the meta-feature(s) and corresponding variants. Some are based on [49]. Refer to the accompanied code for details.