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The quest for greater insights into algorithm strengths and weaknesses, as revealed when studying algorithm performance on large collections of test problems, is supported by interactive visual analytics tools. The strengths and weaknesses of algorithms can be visually assessed, and the adequacy of the test datasets can be scrutinized through visual analytics.

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This page is a summary of: An Instance Space Analysis of Regression Problems, ACM Transactions on Knowledge Discovery from Data, April 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3436893.
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