Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models

Author:

Schneider Lennart12ORCID,Bischl Bernd12ORCID,Thomas Janek12ORCID

Affiliation:

1. Department of Statistics, Chair of Statistical Learning and Data Science, LMU Munich, Munich, Germany

2. Munich Center for Machine Learning (MCML), Munich, Germany

Funder

Bavarian Ministry of Economic Affairs, Regional Development and Energy through the Center for Analytics - Data - Applications (ADACenter) within the framework of BAYERN DIGITAL II

Publisher

ACM

Reference58 articles.

1. Visualizing the effects of predictor variables in black box supervised learning models

2. M. Binder , J. Moosbauer , J. Thomas , and B. Bischl . 2020. Multi-Objective Hyper-parameter Tuning and Feature Selection Using Filter Ensembles . In Proceedings of the 2020 Genetic and Evolutionary Computation Conference. 471--479 . M. Binder, J. Moosbauer, J. Thomas, and B. Bischl. 2020. Multi-Objective Hyper-parameter Tuning and Feature Selection Using Filter Ensembles. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference. 471--479.

3. B. Bischl , M. Binder , M. Lang , T. Pielok , J. Richter , S. Coors , J. Thomas , T. Ullmann , M. Becker , A.-L. Boulesteix , D. Deng , and M. Lindauer . 2021 . Hyperparameter Optimization: Foundations, Algorithms, Best Practices, and Open Challenges . Wiley Interdisciplinary Reviews : Data Mining and Knowledge Discovery (2021), e1484. B. Bischl, M. Binder, M. Lang, T. Pielok, J. Richter, S. Coors, J. Thomas, T. Ullmann, M. Becker, A.-L. Boulesteix, D. Deng, and M. Lindauer. 2021. Hyperparameter Optimization: Foundations, Algorithms, Best Practices, and Open Challenges. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (2021), e1484.

4. B. Bischl , G. Casalicchio , M. Feurer , P. Gijsbers , F. Hutter , M. Lang , R. Gomes Mantovani , J. N. van Rijn , and J. Vanschoren . 2021. OpenML Benchmarking Suites . In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, J. Vanschoren and S. Yeung (Eds.) , Vol. 1 . B. Bischl, G. Casalicchio, M. Feurer, P. Gijsbers, F. Hutter, M. Lang, R. Gomes Mantovani, J. N. van Rijn, and J. Vanschoren. 2021. OpenML Benchmarking Suites. In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, J. Vanschoren and S. Yeung (Eds.), Vol. 1.

5. B. Bischl , I. Vatolkin , and M. Preuss . 2010. Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation . In Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I. 314--323 . B. Bischl, I. Vatolkin, and M. Preuss. 2010. Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation. In Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I. 314--323.

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