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Architects Research Society
Architects Research Society
Nov 17, 2016 · Artificial Intelligence

Comparative Study of Machine Learning Classifiers and Guidance for Algorithm Selection

The article summarizes a JMLR 2014 study that evaluated 179 classifiers across 121 UCI datasets, finding Random Forests and Gaussian‑kernel SVMs to be top performers, provides a review of supervised learning algorithms, and includes visual guidance for selecting appropriate machine‑learning methods.

Random Forestalgorithm selectionclassifier comparison
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Comparative Study of Machine Learning Classifiers and Guidance for Algorithm Selection