An Overview of the Algorithm Selection Problem

Salisu Mamman Abdulrahman, Alhassan Adamu, Yazid Ado Ibrahim, Akilu Rilwan Muhammad

Abstract


Users of machine learning algorithms need methods that can help them to identify algorithm or their combinations (workflows) that achieve the potentially best performance. Selecting the best algorithm to solve a given problem has been the subject of many studies over the past four decades. This survey presents an overview of the contributions made in the area of algorithm selection problems. We present different methods for solving the algorithm selection problem identifying some of the future research challenges in this domain.


Keywords


Machine Learning; Algorithm selection; Workflows.

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References


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