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Figure 2 | Algorithms for Molecular Biology

Figure 2

From: Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations

Figure 2

Timing results of various wrapper-based methods. Plot showing the comparisons between the timing results of the different feature selection implementations. Greedy RLS and space-efficient (SE) greedy RLS both used LOO, greedy feature selection and an RLS classifier, while Weka and R implemented LibSVM, used greedy forward selection as the search strategy and 10-fold CV as the selection criterion.

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